diff --git a/expe_replay_feedback_KTH.ipynb b/expe_replay_feedback_KTH.ipynb
index f940beba9dd01b4fa2959443ef14cb233bf0d99e..763e9fac6a1aa9b2dcc39aa5da059dd64667396f 100644
--- a/expe_replay_feedback_KTH.ipynb
+++ b/expe_replay_feedback_KTH.ipynb
@@ -14,7 +14,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -34,7 +34,8 @@
     "begin_data_in_swf, end_data_in_swf = 25, 28500 # line number (counting from 1)\n",
     "\n",
     "# Folder for saving the figures\n",
-    "fig_path = \"/home/mael/ownCloud/these/articles/replay_with_feedback/fig\""
+    "fig_path = \"/home/mael/ownCloud/these/articles/replay_with_feedback/fig\"\n",
+    "suffix = \"_KTH\""
    ]
   },
   {
@@ -735,7 +736,7 @@
     "ax[0].set(xlabel='longest path in session graphs', ylabel=\"#sessions\", xscale='log', yscale=\"log\")\n",
     "ax[0].grid(which='major')\n",
     "\n",
-    "fig.savefig(f\"{fig_path}/dag_analysis_KTH.pdf\")"
+    "fig.savefig(f\"{fig_path}/dag_analysis{suffix}.pdf\")"
    ]
   },
   {
@@ -3160,7 +3161,7 @@
     "myFmt = mdates.DateFormatter('%b %y')\n",
     "ax[1].xaxis.set_major_formatter(myFmt); fig.autofmt_xdate(rotation=0, ha='center')\n",
     "ax[0].legend()\n",
-    "fig.savefig(f\"{fig_path}/queues_half_speed_KTH.pdf\")"
+    "fig.savefig(f\"{fig_path}/queues_half_speed{suffix}.pdf\")"
    ]
   },
   {
@@ -3402,7 +3403,7 @@
     "    ax[i].get_legend().remove()\n",
     "ax[2].legend()\n",
     "print(\"Title: number of submissions per hour, aggregated by week\")\n",
-    "fig.savefig(f\"{fig_path}/seasonality.pdf\")"
+    "fig.savefig(f\"{fig_path}/seasonality{suffix}.pdf\")"
    ]
   },
   {
@@ -3508,7 +3509,7 @@
     "ax[0].set_xticklabels(['', 'Oct', 'Jan 97', 'Apr', 'Jul', 'Oct', 'Jan 98', 'Apr', 'Jul', ''])  \n",
     "\n",
     "fig.suptitle(\"Number of submissions per day\", fontsize=fontsize)\n",
-    "fig.savefig(f\"{fig_path}/sub_time_distri_KTH.pdf\")"
+    "fig.savefig(f\"{fig_path}/sub_time_distri{suffix}.pdf\")"
    ]
   },
   {
@@ -3657,7 +3658,7 @@
     "ax[0][0].set_yticks([0, N/2, N],[0, 50, 100]); ax[0][0].minorticks_off()\n",
     "ax[0][0].set_xticklabels(['', '', '1997', '', '', '', '1998'])\n",
     "\n",
-    "fig.savefig(f\"{fig_path}/cum_submit_KTH.pdf\", bbox_inches=\"tight\")"
+    "fig.savefig(f\"{fig_path}/cum_submit{suffix}.pdf\", bbox_inches=\"tight\")"
    ]
   },
   {
@@ -3836,7 +3837,7 @@
     "\n",
     "ax2[0].set_xlim(-25,50); ax2[0].legend(); ax2[1].legend();\n",
     "fig2.suptitle(\"Dispersion around y=x (in days)\")\n",
-    "fig2.savefig(f\"{fig_path}/a60_a0_comp_KTH.pdf\")"
+    "fig2.savefig(f\"{fig_path}/a60_a0_comp{suffix}.pdf\")"
    ]
   },
   {
@@ -3933,7 +3934,7 @@
     "# ax[0][0].set_yticks([0, N/2, N],[0, 50, 100]); ax[0][0].minorticks_off()\n",
     "# ax[0][0].set_xticklabels(['', '', '1997', '', '', '', '1998'])\n",
     "\n",
-    "# fig.savefig(f\"{fig_path}/cum_submit_KTH.pdf\")\n",
+    "# fig.savefig(f\"{fig_path}/cum_submit{suffix}.pdf\")\n",
     "\n",
     "# Graphs throughput\n",
     "fig, ax = plt.subplots(ncols=len(data), layout=\"tight\", sharex=True, sharey=True, figsize=(20, 5), gridspec_kw = {'wspace':0.05, 'hspace':0.05})\n",
@@ -4314,7 +4315,7 @@
     "ax[0].invert_yaxis()\n",
     "ax[0].legend(loc='lower left')\n",
     "\n",
-    "fig.savefig(f\"{fig_path}/windowed_throughput_KTH.pdf\")"
+    "fig.savefig(f\"{fig_path}/windowed_throughput{suffix}.pdf\")"
    ]
   },
   {
@@ -4456,7 +4457,7 @@
     "    ylabel=\"mean lateness (s), per user\")\n",
     "    \n",
     "ax.grid(); ax.set_yscale('symlog'); ax.set_xscale('log')\n",
-    "fig.savefig(f\"{fig_path}/lateness_user_KTH.pdf\")"
+    "fig.savefig(f\"{fig_path}/lateness_user{suffix}.pdf\")"
    ]
   },
   {
@@ -4582,12 +4583,99 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 57,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Quantiles delta per user:\n"
+     ]
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>10</th>\n",
+       "      <th>50</th>\n",
+       "      <th>90</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>FCFS</th>\n",
+       "      <td>-5.333333</td>\n",
+       "      <td>8775.264550</td>\n",
+       "      <td>44525.128381</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>EASY</th>\n",
+       "      <td>-17980.216885</td>\n",
+       "      <td>-699.181989</td>\n",
+       "      <td>917.665455</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>speed*2</th>\n",
+       "      <td>-26246.513127</td>\n",
+       "      <td>-2186.333333</td>\n",
+       "      <td>-48.760769</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>infra*2</th>\n",
+       "      <td>-25320.858559</td>\n",
+       "      <td>-1553.117627</td>\n",
+       "      <td>-17.656140</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>speed/2</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>10484.777778</td>\n",
+       "      <td>47167.963416</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>infra/2</th>\n",
+       "      <td>-8695.483908</td>\n",
+       "      <td>2586.381655</td>\n",
+       "      <td>19434.426700</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   10            50            90\n",
+       "FCFS        -5.333333   8775.264550  44525.128381\n",
+       "EASY    -17980.216885   -699.181989    917.665455\n",
+       "speed*2 -26246.513127  -2186.333333    -48.760769\n",
+       "infra*2 -25320.858559  -1553.117627    -17.656140\n",
+       "speed/2      0.000000  10484.777778  47167.963416\n",
+       "infra/2  -8695.483908   2586.381655  19434.426700"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1600x600 with 2 Axes>"
       ]
@@ -4597,7 +4685,7 @@
     },
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1600x600 with 2 Axes>"
       ]
@@ -4608,35 +4696,44 @@
    ],
    "source": [
     "data = {\n",
-    "    \"A0_FCFS\":  f\"{EXPE_DIR}/a0_FCFS\",\n",
-    "    \"A0_EASY\":  f\"{EXPE_DIR}/a0_EASY\",\n",
-    "    \"speed*2\":  f\"{EXPE_DIR}/a0_EASY_double_speed\",\n",
-    "    \"infra*2\":  f\"{EXPE_DIR}/a0_EASY_double_infra\",\n",
-    "    \"speed/2\":  f\"{EXPE_DIR}/a0_EASY_half_speed\",\n",
-    "    \"infra/2\":  f\"{EXPE_DIR}/a0_EASY_half_infra\",\n",
+    "    \"FCFS\":  f\"{EXPE_DIR}/a60_FCFS\",\n",
+    "    \"EASY\":  f\"{EXPE_DIR}/a60_EASY\",\n",
+    "    \"speed*2\":  f\"{EXPE_DIR}/a60_EASY_double_speed\",\n",
+    "    \"infra*2\":  f\"{EXPE_DIR}/a60_EASY_double_infra\",\n",
+    "    \"speed/2\":  f\"{EXPE_DIR}/a60_EASY_half_speed\",\n",
+    "    \"infra/2\":  f\"{EXPE_DIR}/a60_EASY_half_infra\",\n",
     "}\n",
     "\n",
     "cmap, N= plt.cm.Accent, len(data)\n",
     "colors = [cmap(k / float(N)) for k in range(N)]\n",
     "\n",
-    "def delta(x):\n",
-    "    if len(x) <= 2:\n",
-    "        return np.inf\n",
+    "def d(x):\n",
+    "    if len(x) < 2:\n",
+    "        return np.nan # undefined\n",
     "    return 2 * sum(x) / (len(x) * (len(x) - 1))\n",
     "\n",
-    "def plot_delta_spread(logscale=False):\n",
+    "def plot_delta_spread(logscale=False, stat=False):\n",
     "    fig, ax = plt.subplots(ncols=2, figsize=(16,6), constrained_layout=True, sharey=True)\n",
     "    deltas = {}\n",
     "    col = iter(colors)\n",
+    "    if stat:\n",
+    "        stats = {}\n",
     "    for name, path in data.items():\n",
     "        df = read_and_clean(f\"{path}/_jobs.csv\")[[\"workload_name\",\"submission_time\"]]\n",
     "        df[\"lateness\"] = (df.submission_time - WL_rigid.submission_time).astype(dtype='timedelta64[s]')\n",
-    "        grp = df.groupby(df.workload_name)[\"lateness\"].agg(count=\"count\", delta=lambda x: delta(x))\n",
+    "        grp = df.groupby(df.workload_name)[\"lateness\"].agg(count=\"count\", delta=lambda x: d(x))\n",
     "\n",
     "        grp.plot(kind='scatter', x=\"count\", y=\"delta\", ax=ax[0], marker='.', color=next(col), label=name, \n",
     "                xlabel=\"#jobs per user\", ylabel=\"delta per user\")\n",
     "        deltas[name] = grp[\"delta\"]\n",
-    "    \n",
+    "        \n",
+    "        if stat:\n",
+    "            stats[name] = {\"10\":grp[\"delta\"].quantile(.1), \"50\":grp[\"delta\"].quantile(.5), \"90\":grp[\"delta\"].quantile(.9)}\n",
+    "    if stat:\n",
+    "        print(\"Quantiles delta per user:\")\n",
+    "        quantiles = pd.DataFrame(stats).transpose()\n",
+    "        display(quantiles)\n",
+    "        quantiles.to_csv(f\"{EXPE_DIR}/delta_user_quantiles.csv\")\n",
     "    bplot = pd.DataFrame(deltas).boxplot(ax=ax[1], return_type='dict', patch_artist=True)\n",
     "    # Color the boxes : \n",
     "    for i, patch in enumerate(bplot['boxes']):\n",
@@ -4649,10 +4746,62 @@
     "    ax[0].grid()\n",
     "    ax[1].grid(axis=\"x\")\n",
     "\n",
-    "plot_delta_spread(logscale=False)\n",
+    "plot_delta_spread(logscale=False, stat=True)\n",
     "plot_delta_spread(logscale=True)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# For paper\n",
+    "data = {\n",
+    "    \"FCFS\":  f\"{EXPE_DIR}/a60_FCFS\",\n",
+    "    \"EASY\":  f\"{EXPE_DIR}/a60_EASY\",\n",
+    "    \"speed*2\":  f\"{EXPE_DIR}/a60_EASY_double_speed\",\n",
+    "    \"infra*2\":  f\"{EXPE_DIR}/a60_EASY_double_infra\",\n",
+    "    \"speed/2\":  f\"{EXPE_DIR}/a60_EASY_half_speed\",\n",
+    "    \"infra/2\":  f\"{EXPE_DIR}/a60_EASY_half_infra\",\n",
+    "}\n",
+    "\n",
+    "cmap, N= plt.cm.Accent, len(data)\n",
+    "colors = [cmap(k / float(N)) for k in range(N)]\n",
+    "markers = [\".\" , \"1\" , \"o\" , \"x\" , \"+\" , \"3\", \">\"]\n",
+    "\n",
+    "def d(x):\n",
+    "    if len(x) < 2:\n",
+    "        return np.nan # undefined\n",
+    "    return 2 * sum(x) / (len(x) * (len(x) - 1))\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(6,4), constrained_layout=True)\n",
+    "col, marks = iter(colors), iter(markers)\n",
+    "for name, path in data.items():\n",
+    "    df = read_and_clean(f\"{path}/_jobs.csv\")[[\"workload_name\",\"submission_time\"]]\n",
+    "    df[\"lateness\"] = (df.submission_time - WL_rigid.submission_time).astype(dtype='timedelta64[s]')\n",
+    "    grp = df.groupby(df.workload_name)[\"lateness\"].agg(count=\"count\", delta=lambda x: d(x))\n",
+    "    \n",
+    "    grp.plot(kind='scatter', x=\"count\", y=\"delta\", ax=ax, marker=next(marks), \n",
+    "    color=next(col), label=name,\n",
+    "    xlabel=\"#jobs submitted by the user\", \n",
+    "    ylabel=\"delta (s), per user\")\n",
+    "    \n",
+    "ax.grid(); ax.set_yscale('symlog'); ax.set_xscale('log')\n",
+    "fig.savefig(f\"{fig_path}/delta_user{suffix}.pdf\")"
+   ]
+  },
   {
    "attachments": {},
    "cell_type": "markdown",
@@ -6004,67 +6153,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Analyze the results:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 66,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "Text(0.5, 0.98, 'Variation of metrics by input size')"
-      ]
-     },
-     "execution_count": 66,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": 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",
-      "text/plain": [
-       "<Figure size 1600x1000 with 4 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "met_fcfs, met_easy, met_half, met_double = [], [], [], []\n",
-    "for k in range(10, 100, 10):\n",
-    "    expe_folder = f\"{EXPE_DIR}/a0_FCFS_cut{k}\"\n",
-    "    met_fcfs.append( metrics(expe_folder) )\n",
-    "\n",
-    "    expe_folder = f\"{EXPE_DIR}/a0_EASY_cut{k}\"\n",
-    "    met_easy.append( metrics(expe_folder) )\n",
-    "\n",
-    "    expe_folder = f\"{EXPE_DIR}/a0_EASY_cut{k}_half_speed\"\n",
-    "    met_half.append( metrics(expe_folder) )\n",
-    "\n",
-    "    expe_folder = f\"{EXPE_DIR}/a0_EASY_cut{k}_double_speed\"\n",
-    "    met_double.append( metrics(expe_folder) )\n",
-    "\n",
-    "met_fcfs.append(metrics(f\"{EXPE_DIR}/a0_FCFS\"))\n",
-    "met_easy.append(metrics(f\"{EXPE_DIR}/a0_EASY\"))\n",
-    "met_half.append(metrics(f\"{EXPE_DIR}/a0_EASY_half_speed\"))\n",
-    "met_double.append(metrics(f\"{EXPE_DIR}/a0_EASY_double_speed\"))\n",
-    "\n",
-    "dfs = {\"fcfs\": pd.DataFrame(met_fcfs), \"speed/2\": pd.DataFrame(met_half), \"easy\": pd.DataFrame(met_easy), \"speed*2\": pd.DataFrame(met_double)}\n",
-    "fig, ax = plt.subplots(ncols=3, figsize=(16,10), layout='constrained', sharex=True)\n",
-    "for name, to_plot in dfs.items():\n",
-    "    to_plot.plot(kind='line', x='nb_jobs', y='mean_lateness', title='mean_lateness (days)', style='.--', label=name, ax=ax[0])\n",
-    "    to_plot.plot(kind='line', x='nb_jobs', y='delta', title='delta (s) / strech', style='.--', label=f\"{name} (delta)\", ax=ax[1])\n",
-    "    to_plot.plot(kind='line', x='nb_jobs', y='stretch', style='x:', label=f\"{name} (strech)\", ax=ax[1], secondary_y=True, color=ax[1].get_lines()[-1].get_color())\n",
-    "    to_plot.plot(kind='line', x='nb_jobs', y='util', title='mean_utilization (%)', style='.--', label=name, ax=ax[2])\n",
-    "y_l, y_r = ax[0].get_ylim(); y_l, y_r = int(y_l / (3600*24)), int(y_r / (3600*24))\n",
-    "ax[0].set_yticks(np.arange(y_l * 3600*24, y_r * 3600*24, step=5*3600*24), labels=np.arange(y_l, y_r, step=5))    \n",
-    "ax[0].grid(); ax[1].grid(); ax[2].grid()\n",
-    "ax[2].set_ylim(0,100)\n",
-    "fig.suptitle(\"Variation of metrics by input size\", fontsize=16)"
+    "#### Analyze the results:"
    ]
   },
   {
@@ -6155,6 +6244,11 @@
     "fig2.suptitle(\"Delta VS strech\", fontsize=16)"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
   {
    "attachments": {},
    "cell_type": "markdown",
@@ -6170,6 +6264,16 @@
     "### Evolution of mean lateness and delta"
    ]
   },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": 68,
@@ -6285,7 +6389,7 @@
     "ax[0].grid(); ax[1].grid()\n",
     "ax[1].legend()\n",
     "\n",
-    "fig.savefig(f\"{fig_path}/lateness_delta_evolution_KTH.pdf\")"
+    "fig.savefig(f\"{fig_path}/lateness_delta_evolution{suffix}.pdf\")"
    ]
   },
   {
@@ -6295,6 +6399,553 @@
     "Observation :\n",
     "- les delta semblent se stabiliser... mais pas tous !"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>workload_name</th>\n",
+       "      <th>profile</th>\n",
+       "      <th>submission_time</th>\n",
+       "      <th>requested_number_of_resources</th>\n",
+       "      <th>requested_time</th>\n",
+       "      <th>success</th>\n",
+       "      <th>final_state</th>\n",
+       "      <th>starting_time</th>\n",
+       "      <th>execution_time</th>\n",
+       "      <th>finish_time</th>\n",
+       "      <th>waiting_time</th>\n",
+       "      <th>turnaround_time</th>\n",
+       "      <th>stretch</th>\n",
+       "      <th>allocated_resources</th>\n",
+       "      <th>consumed_energy</th>\n",
+       "      <th>metadata</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>job_id</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>user12</td>\n",
+       "      <td>3477</td>\n",
+       "      <td>1996-09-30 12:38:01</td>\n",
+       "      <td>4</td>\n",
+       "      <td>53940.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>COMPLETED_SUCCESSFULLY</td>\n",
+       "      <td>599850.0</td>\n",
+       "      <td>3477.0</td>\n",
+       "      <td>1996-09-30 13:35:58</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3477.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0-3</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>user13</td>\n",
+       "      <td>2488</td>\n",
+       "      <td>1996-09-30 12:40:53</td>\n",
+       "      <td>25</td>\n",
+       "      <td>4976.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>COMPLETED_SUCCESSFULLY</td>\n",
+       "      <td>600022.0</td>\n",
+       "      <td>2488.0</td>\n",
+       "      <td>1996-09-30 13:22:21</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>2488.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>4-28</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>user14</td>\n",
+       "      <td>215337</td>\n",
+       "      <td>1996-09-30 12:48:27</td>\n",
+       "      <td>5</td>\n",
+       "      <td>430674.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>COMPLETED_SUCCESSFULLY</td>\n",
+       "      <td>600476.0</td>\n",
+       "      <td>215337.0</td>\n",
+       "      <td>1996-10-03 00:37:24</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>215337.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>29-33</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>user15</td>\n",
+       "      <td>35373</td>\n",
+       "      <td>1996-09-30 12:54:27</td>\n",
+       "      <td>17</td>\n",
+       "      <td>70746.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>COMPLETED_SUCCESSFULLY</td>\n",
+       "      <td>600836.0</td>\n",
+       "      <td>35373.0</td>\n",
+       "      <td>1996-09-30 22:44:00</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>35373.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>34-50</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>user16</td>\n",
+       "      <td>29</td>\n",
+       "      <td>1996-09-30 13:46:01</td>\n",
+       "      <td>8</td>\n",
+       "      <td>2400.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>COMPLETED_SUCCESSFULLY</td>\n",
+       "      <td>603930.0</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>1996-09-30 13:46:30</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>29.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0-7</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28486</th>\n",
+       "      <td>user183</td>\n",
+       "      <td>157</td>\n",
+       "      <td>1997-08-29 09:05:05</td>\n",
+       "      <td>8</td>\n",
+       "      <td>13800.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>COMPLETED_SUCCESSFULLY</td>\n",
+       "      <td>29358274.0</td>\n",
+       "      <td>157.0</td>\n",
+       "      <td>1997-08-29 09:07:42</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>157.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0-7</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28487</th>\n",
+       "      <td>user171</td>\n",
+       "      <td>3586</td>\n",
+       "      <td>1997-08-29 09:13:15</td>\n",
+       "      <td>16</td>\n",
+       "      <td>14400.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>COMPLETED_SUCCESSFULLY</td>\n",
+       "      <td>29358764.0</td>\n",
+       "      <td>3586.0</td>\n",
+       "      <td>1997-08-29 10:13:01</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>3586.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0-15</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28488</th>\n",
+       "      <td>user179</td>\n",
+       "      <td>849</td>\n",
+       "      <td>1997-08-29 10:05:17</td>\n",
+       "      <td>11</td>\n",
+       "      <td>1698.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>COMPLETED_SUCCESSFULLY</td>\n",
+       "      <td>29361886.0</td>\n",
+       "      <td>849.0</td>\n",
+       "      <td>1997-08-29 10:19:26</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>849.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>16-26</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28489</th>\n",
+       "      <td>user98</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1997-08-29 10:30:15</td>\n",
+       "      <td>1</td>\n",
+       "      <td>30000.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>COMPLETED_SUCCESSFULLY</td>\n",
+       "      <td>29363384.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>1997-08-29 10:30:23</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28490</th>\n",
+       "      <td>user98</td>\n",
+       "      <td>8</td>\n",
+       "      <td>1997-08-29 10:34:09</td>\n",
+       "      <td>1</td>\n",
+       "      <td>30000.0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>COMPLETED_SUCCESSFULLY</td>\n",
+       "      <td>29363618.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>1997-08-29 10:34:17</td>\n",
+       "      <td>0.0</td>\n",
+       "      <td>8.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1.0</td>\n",
+       "      <td>NaN</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>28475 rows × 16 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       workload_name  profile     submission_time  \\\n",
+       "job_id                                              \n",
+       "15            user12     3477 1996-09-30 12:38:01   \n",
+       "16            user13     2488 1996-09-30 12:40:53   \n",
+       "17            user14   215337 1996-09-30 12:48:27   \n",
+       "18            user15    35373 1996-09-30 12:54:27   \n",
+       "19            user16       29 1996-09-30 13:46:01   \n",
+       "...              ...      ...                 ...   \n",
+       "28486        user183      157 1997-08-29 09:05:05   \n",
+       "28487        user171     3586 1997-08-29 09:13:15   \n",
+       "28488        user179      849 1997-08-29 10:05:17   \n",
+       "28489         user98        8 1997-08-29 10:30:15   \n",
+       "28490         user98        8 1997-08-29 10:34:09   \n",
+       "\n",
+       "        requested_number_of_resources  requested_time  success  \\\n",
+       "job_id                                                           \n",
+       "15                                  4         53940.0        1   \n",
+       "16                                 25          4976.0        1   \n",
+       "17                                  5        430674.0        1   \n",
+       "18                                 17         70746.0        1   \n",
+       "19                                  8          2400.0        1   \n",
+       "...                               ...             ...      ...   \n",
+       "28486                               8         13800.0        1   \n",
+       "28487                              16         14400.0        1   \n",
+       "28488                              11          1698.0        1   \n",
+       "28489                               1         30000.0        1   \n",
+       "28490                               1         30000.0        1   \n",
+       "\n",
+       "                   final_state  starting_time  execution_time  \\\n",
+       "job_id                                                          \n",
+       "15      COMPLETED_SUCCESSFULLY       599850.0          3477.0   \n",
+       "16      COMPLETED_SUCCESSFULLY       600022.0          2488.0   \n",
+       "17      COMPLETED_SUCCESSFULLY       600476.0        215337.0   \n",
+       "18      COMPLETED_SUCCESSFULLY       600836.0         35373.0   \n",
+       "19      COMPLETED_SUCCESSFULLY       603930.0            29.0   \n",
+       "...                        ...            ...             ...   \n",
+       "28486   COMPLETED_SUCCESSFULLY     29358274.0           157.0   \n",
+       "28487   COMPLETED_SUCCESSFULLY     29358764.0          3586.0   \n",
+       "28488   COMPLETED_SUCCESSFULLY     29361886.0           849.0   \n",
+       "28489   COMPLETED_SUCCESSFULLY     29363384.0             8.0   \n",
+       "28490   COMPLETED_SUCCESSFULLY     29363618.0             8.0   \n",
+       "\n",
+       "               finish_time  waiting_time  turnaround_time  stretch  \\\n",
+       "job_id                                                               \n",
+       "15     1996-09-30 13:35:58           0.0           3477.0      1.0   \n",
+       "16     1996-09-30 13:22:21           0.0           2488.0      1.0   \n",
+       "17     1996-10-03 00:37:24           0.0         215337.0      1.0   \n",
+       "18     1996-09-30 22:44:00           0.0          35373.0      1.0   \n",
+       "19     1996-09-30 13:46:30           0.0             29.0      1.0   \n",
+       "...                    ...           ...              ...      ...   \n",
+       "28486  1997-08-29 09:07:42           0.0            157.0      1.0   \n",
+       "28487  1997-08-29 10:13:01           0.0           3586.0      1.0   \n",
+       "28488  1997-08-29 10:19:26           0.0            849.0      1.0   \n",
+       "28489  1997-08-29 10:30:23           0.0              8.0      1.0   \n",
+       "28490  1997-08-29 10:34:17           0.0              8.0      1.0   \n",
+       "\n",
+       "       allocated_resources  consumed_energy  metadata  \n",
+       "job_id                                                 \n",
+       "15                     0-3             -1.0       NaN  \n",
+       "16                    4-28             -1.0       NaN  \n",
+       "17                   29-33             -1.0       NaN  \n",
+       "18                   34-50             -1.0       NaN  \n",
+       "19                     0-7             -1.0       NaN  \n",
+       "...                    ...              ...       ...  \n",
+       "28486                  0-7             -1.0       NaN  \n",
+       "28487                 0-15             -1.0       NaN  \n",
+       "28488                16-26             -1.0       NaN  \n",
+       "28489                    0             -1.0       NaN  \n",
+       "28490                    0             -1.0       NaN  \n",
+       "\n",
+       "[28475 rows x 16 columns]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "display(WL_rigid)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mean lateness:\n",
+      "EASY (fb): -386140 VS -209781     -27 VS -10022\n",
+      "infra*2 (fb): -805374 VS -362285     -57 VS -12920\n",
+      "speed*2 (fb): -1150172 VS -451427     -81 VS -14400\n",
+      "FCFS (fb): 2272841 VS 596554     160 VS 12507\n",
+      "infra/2 (fb): 1288184 VS 357468     90 VS 652\n",
+      "speed/2 (fb): 3762024 VS 1157203     264 VS 15686\n"
+     ]
+    }
+   ],
+   "source": [
+    "data = {\n",
+    "    \"EASY (fb)\": f\"{EXPE_DIR}/a60_EASY\",\n",
+    "    \"infra*2 (fb)\": f\"{EXPE_DIR}/a60_EASY_double_infra\",\n",
+    "    \"speed*2 (fb)\": f\"{EXPE_DIR}/a60_EASY_double_speed\",\n",
+    "    \"FCFS (fb)\": f\"{EXPE_DIR}/a60_FCFS\",\n",
+    "    \"infra/2 (fb)\": f\"{EXPE_DIR}/a60_EASY_half_infra\",\n",
+    "    \"speed/2 (fb)\": f\"{EXPE_DIR}/a60_EASY_half_speed\",\n",
+    "}\n",
+    "\n",
+    "def d(x):\n",
+    "    if len(x) < 2:\n",
+    "        return np.nan # undefined\n",
+    "    return 2 * x.mean() / (len(x) - 1)\n",
+    "\n",
+    "print(\"Mean lateness:\")\n",
+    "for name, path in data.items():\n",
+    "    xp = read_and_clean(f\"{path}/_jobs.csv\")\n",
+    "    xp[\"late\"] = (xp.submission_time - WL_rigid.submission_time).dt.total_seconds()\n",
+    "    mean1 = xp.late.mean()\n",
+    "    mean2 = xp.groupby(\"workload_name\").mean().late.mean()\n",
+    "    delta1 = d(xp.late)\n",
+    "    delta2 = xp.groupby(\"workload_name\")[\"late\"].agg(delta=lambda x: d(x)).mean()[0]\n",
+    "    print(f\"{name}: {mean1:.0f} VS {mean2:.0f}     {delta1:.0f} VS {delta2:.0f}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>delta</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>workload_name</th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>user1</th>\n",
+       "      <td>12858.128205</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>user10</th>\n",
+       "      <td>-4602.533333</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>user100</th>\n",
+       "      <td>6830.672515</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>user101</th>\n",
+       "      <td>-1905.800000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>user102</th>\n",
+       "      <td>991.767073</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>user95</th>\n",
+       "      <td>22746.545455</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>user96</th>\n",
+       "      <td>13658.470000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>user97</th>\n",
+       "      <td>19441.434454</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>user98</th>\n",
+       "      <td>13207.188653</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>user99</th>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>214 rows × 1 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                      delta\n",
+       "workload_name              \n",
+       "user1          12858.128205\n",
+       "user10         -4602.533333\n",
+       "user100         6830.672515\n",
+       "user101        -1905.800000\n",
+       "user102          991.767073\n",
+       "...                     ...\n",
+       "user95         22746.545455\n",
+       "user96         13658.470000\n",
+       "user97         19441.434454\n",
+       "user98         13207.188653\n",
+       "user99             0.000000\n",
+       "\n",
+       "[214 rows x 1 columns]"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xp = read_and_clean(f\"{EXPE_DIR}/a60_EASY_half_speed/_jobs.csv\")\n",
+    "xp[\"late\"] = (xp.submission_time - WL_rigid.submission_time).dt.total_seconds()\n",
+    "xp.groupby(\"workload_name\")[\"late\"].agg(delta=lambda x: d(x))\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "job_id\n",
+       "5248    0.0\n",
+       "5250    0.0\n",
+       "Name: late, dtype: float64"
+      ]
+     },
+     "execution_count": 49,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "xp.query(\"workload_name == 'user99'\").late"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
diff --git a/expe_replay_feedback_SDSC.ipynb b/expe_replay_feedback_SDSC.ipynb
index f77b40fb9acaf8fb87fe49069a49948d35594d70..adf089c2f050dda95e0f7a6ae6a02af733b9f7cb 100644
--- a/expe_replay_feedback_SDSC.ipynb
+++ b/expe_replay_feedback_SDSC.ipynb
@@ -14,7 +14,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -34,7 +34,8 @@
     "begin_data_in_swf, end_data_in_swf = 40, 73535 # line number (counting from 1)\n",
     "\n",
     "# Folder for saving the figures\n",
-    "fig_path = \"/home/mael/ownCloud/these/articles/replay_with_feedback/fig\""
+    "fig_path = \"/home/mael/ownCloud/these/articles/replay_with_feedback/fig\"\n",
+    "suffix = \"_SDSC\""
    ]
   },
   {
@@ -24087,7 +24088,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -24262,7 +24263,7 @@
     "ax[0].set_yticks([1,10,100,1000,10000])\n",
     "ax[0].grid(which='major')\n",
     "\n",
-    "fig.savefig(f\"{fig_path}/dag_analysis_SDSC.pdf\")"
+    "fig.savefig(f\"{fig_path}/dag_analysis{suffix}.pdf\")"
    ]
   },
   {
@@ -26858,7 +26859,7 @@
     "ax[0].set_yticks([0, 100, 200, 300], [0, \"\", 200, \"\"])\n",
     "\n",
     "fig.suptitle(\"Number of submissions per day\", fontsize=fontsize)\n",
-    "fig.savefig(f\"{fig_path}/sub_time_distri_SDSC.pdf\")"
+    "fig.savefig(f\"{fig_path}/sub_time_distri{suffix}.pdf\")"
    ]
   },
   {
@@ -26990,7 +26991,7 @@
     "ax[0][0].set_xticklabels(['', '1999', '2000', '2001', '2002', ''])\n",
     "# ax[0][0].xaxis.set_major_formatter(mdates.DateFormatter('%Y'));\n",
     "\n",
-    "fig.savefig(f\"{fig_path}/cum_submit_SDSC.pdf\", bbox_inches=\"tight\")"
+    "fig.savefig(f\"{fig_path}/cum_submit{suffix}.pdf\", bbox_inches=\"tight\")"
    ]
   },
   {
@@ -27168,7 +27169,7 @@
     "\n",
     "ax2[0].set_xlim(-25,50); ax2[0].legend(); ax2[1].legend();\n",
     "fig2.suptitle(\"Dispersion around y=x (in days)\")\n",
-    "fig2.savefig(f\"{fig_path}/a60_a0_comp_KTH.pdf\")"
+    "fig2.savefig(f\"{fig_path}/a60_a0_comp{suffix}.pdf\")"
    ]
   },
   {
@@ -27787,7 +27788,7 @@
     "    ylabel=\"mean lateness (s), per user\")\n",
     "    \n",
     "ax.grid(); ax.set_yscale('symlog'); ax.set_xscale('log')\n",
-    "fig.savefig(f\"{fig_path}/lateness_user_SDSC.pdf\")"
+    "fig.savefig(f\"{fig_path}/lateness_user{suffix}.pdf\")"
    ]
   },
   {
@@ -27801,12 +27802,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 58,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
      "data": {
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",
       "text/plain": [
        "<Figure size 1600x500 with 2 Axes>"
       ]
@@ -27817,12 +27818,12 @@
    ],
    "source": [
     "data = {\n",
-    "    \"A0_FCFS\":  f\"{EXPE_DIR}/a0_FCFS\",\n",
-    "    \"A0_EASY\":  f\"{EXPE_DIR}/a0_EASY\",\n",
-    "    \"speed*2\":  f\"{EXPE_DIR}/a0_EASY_double_speed\",\n",
-    "    \"infra*2\":  f\"{EXPE_DIR}/a0_EASY_double_infra\",\n",
-    "    \"speed/2\":  f\"{EXPE_DIR}/a0_EASY_half_speed\",\n",
-    "    \"infra/2\":  f\"{EXPE_DIR}/a0_EASY_half_infra\",\n",
+    "    \"FCFS\":  f\"{EXPE_DIR}/a60_FCFS\",\n",
+    "    \"EASY\":  f\"{EXPE_DIR}/a60_EASY\",\n",
+    "    \"speed*2\":  f\"{EXPE_DIR}/a60_EASY_double_speed\",\n",
+    "    \"infra*2\":  f\"{EXPE_DIR}/a60_EASY_double_infra\",\n",
+    "    \"speed/2\":  f\"{EXPE_DIR}/a60_EASY_half_speed\",\n",
+    "    \"infra/2\":  f\"{EXPE_DIR}/a60_EASY_half_infra\",\n",
     "}\n",
     "rigid = WL_rigid[[\"workload_name\",\"submission_time\"]]\n",
     "\n",
@@ -27832,8 +27833,8 @@
     "\n",
     "fig, ax = plt.subplots(ncols=2, figsize=(16,5), constrained_layout=True, sharey=True)\n",
     "\n",
-    "DAG_l_paths = DAG_analysis[\"longest_paths\"][\"a0\"]\n",
-    "max_succs = DAG_analysis[\"succs\"][\"a0\"]\n",
+    "DAG_l_paths = DAG_analysis[\"longest_paths\"][\"a60\"]\n",
+    "max_succs = DAG_analysis[\"succs\"][\"a60\"]\n",
     "\n",
     "for name, path in data.items():\n",
     "    col, mark = next(cols), next(marks)\n",
@@ -27861,12 +27862,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 59,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1600x500 with 2 Axes>"
       ]
@@ -27913,12 +27914,99 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 60,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Quantiles delta per user:\n"
+     ]
+    },
     {
      "data": {
-      "image/png": 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+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>10</th>\n",
+       "      <th>50</th>\n",
+       "      <th>90</th>\n",
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+       "  </thead>\n",
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+       "    <tr>\n",
+       "      <th>FCFS</th>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>12141.319705</td>\n",
+       "      <td>67078.045581</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>EASY</th>\n",
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+       "      <td>0.000000</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>speed*2</th>\n",
+       "      <td>-26170.112353</td>\n",
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+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
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+       "      <td>0.000000</td>\n",
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+       "      <td>0.000000</td>\n",
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+      "text/plain": [
+       "                   10            50             90\n",
+       "FCFS         0.000000  12141.319705   67078.045581\n",
+       "EASY     -8898.349914      0.000000    4179.942215\n",
+       "speed*2 -26170.112353  -1803.439394       0.000000\n",
+       "infra*2 -21737.551151  -1287.962539       0.000000\n",
+       "speed/2      0.000000  15190.250000  153975.953047\n",
+       "infra/2      0.000000  13423.813522  119479.907453"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
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",
       "text/plain": [
        "<Figure size 1600x600 with 2 Axes>"
       ]
@@ -27928,7 +28016,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 1600x600 with 2 Axes>"
       ]
@@ -27939,35 +28027,44 @@
    ],
    "source": [
     "data = {\n",
-    "    \"A0_FCFS\":  f\"{EXPE_DIR}/a0_FCFS\",\n",
-    "    \"A0_EASY\":  f\"{EXPE_DIR}/a0_EASY\",\n",
-    "    \"speed*2\":  f\"{EXPE_DIR}/a0_EASY_double_speed\",\n",
-    "    \"infra*2\":  f\"{EXPE_DIR}/a0_EASY_double_infra\",\n",
-    "    \"speed/2\":  f\"{EXPE_DIR}/a0_EASY_half_speed\",\n",
-    "    \"infra/2\":  f\"{EXPE_DIR}/a0_EASY_half_infra\",\n",
+    "    \"FCFS\":  f\"{EXPE_DIR}/a60_FCFS\",\n",
+    "    \"EASY\":  f\"{EXPE_DIR}/a60_EASY\",\n",
+    "    \"speed*2\":  f\"{EXPE_DIR}/a60_EASY_double_speed\",\n",
+    "    \"infra*2\":  f\"{EXPE_DIR}/a60_EASY_double_infra\",\n",
+    "    \"speed/2\":  f\"{EXPE_DIR}/a60_EASY_half_speed\",\n",
+    "    \"infra/2\":  f\"{EXPE_DIR}/a60_EASY_half_infra\",\n",
     "}\n",
     "\n",
     "cmap, N= plt.cm.Accent, len(data)\n",
     "colors = [cmap(k / float(N)) for k in range(N)]\n",
     "\n",
-    "def delta(x):\n",
-    "    if len(x) <= 2:\n",
-    "        return np.inf\n",
+    "def d(x):\n",
+    "    if len(x) < 2:\n",
+    "        return np.nan # undefined\n",
     "    return 2 * sum(x) / (len(x) * (len(x) - 1))\n",
     "\n",
-    "def plot_delta_spread(logscale=False):\n",
+    "def plot_delta_spread(logscale=False, stat=False):\n",
     "    fig, ax = plt.subplots(ncols=2, figsize=(16,6), constrained_layout=True, sharey=True)\n",
     "    deltas = {}\n",
     "    col = iter(colors)\n",
+    "    if stat:\n",
+    "        stats = {}\n",
     "    for name, path in data.items():\n",
     "        df = read_and_clean(f\"{path}/_jobs.csv\")[[\"workload_name\",\"submission_time\"]]\n",
     "        df[\"lateness\"] = (df.submission_time - WL_rigid.submission_time).astype(dtype='timedelta64[s]')\n",
-    "        grp = df.groupby(df.workload_name)[\"lateness\"].agg(count=\"count\", delta=lambda x: delta(x))\n",
+    "        grp = df.groupby(df.workload_name)[\"lateness\"].agg(count=\"count\", delta=lambda x: d(x))\n",
     "\n",
     "        grp.plot(kind='scatter', x=\"count\", y=\"delta\", ax=ax[0], marker='.', color=next(col), label=name, \n",
     "                xlabel=\"#jobs per user\", ylabel=\"delta per user\")\n",
     "        deltas[name] = grp[\"delta\"]\n",
-    "    \n",
+    "        \n",
+    "        if stat:\n",
+    "            stats[name] = {\"10\":grp[\"delta\"].quantile(.1), \"50\":grp[\"delta\"].quantile(.5), \"90\":grp[\"delta\"].quantile(.9)}\n",
+    "    if stat:\n",
+    "        print(\"Quantiles delta per user:\")\n",
+    "        quantiles = pd.DataFrame(stats).transpose()\n",
+    "        display(quantiles)\n",
+    "        quantiles.to_csv(f\"{EXPE_DIR}/delta_user_quantiles.csv\")\n",
     "    bplot = pd.DataFrame(deltas).boxplot(ax=ax[1], return_type='dict', patch_artist=True)\n",
     "    # Color the boxes : \n",
     "    for i, patch in enumerate(bplot['boxes']):\n",
@@ -27980,10 +28077,62 @@
     "    ax[0].grid()\n",
     "    ax[1].grid(axis=\"x\")\n",
     "\n",
-    "plot_delta_spread(logscale=False)\n",
+    "plot_delta_spread(logscale=False, stat=True)\n",
     "plot_delta_spread(logscale=True)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x400 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# For paper\n",
+    "data = {\n",
+    "    \"FCFS\":  f\"{EXPE_DIR}/a60_FCFS\",\n",
+    "    \"EASY\":  f\"{EXPE_DIR}/a60_EASY\",\n",
+    "    \"speed*2\":  f\"{EXPE_DIR}/a60_EASY_double_speed\",\n",
+    "    \"infra*2\":  f\"{EXPE_DIR}/a60_EASY_double_infra\",\n",
+    "    \"speed/2\":  f\"{EXPE_DIR}/a60_EASY_half_speed\",\n",
+    "    \"infra/2\":  f\"{EXPE_DIR}/a60_EASY_half_infra\",\n",
+    "}\n",
+    "\n",
+    "cmap, N= plt.cm.Accent, len(data)\n",
+    "colors = [cmap(k / float(N)) for k in range(N)]\n",
+    "markers = [\".\" , \"1\" , \"o\" , \"x\" , \"+\" , \"3\", \">\"]\n",
+    "\n",
+    "def d(x):\n",
+    "    if len(x) < 2:\n",
+    "        return np.nan # undefined\n",
+    "    return 2 * sum(x) / (len(x) * (len(x) - 1))\n",
+    "\n",
+    "fig, ax = plt.subplots(figsize=(6,4), constrained_layout=True)\n",
+    "col, marks = iter(colors), iter(markers)\n",
+    "for name, path in data.items():\n",
+    "    df = read_and_clean(f\"{path}/_jobs.csv\")[[\"workload_name\",\"submission_time\"]]\n",
+    "    df[\"lateness\"] = (df.submission_time - WL_rigid.submission_time).astype(dtype='timedelta64[s]')\n",
+    "    grp = df.groupby(df.workload_name)[\"lateness\"].agg(count=\"count\", delta=lambda x: d(x))\n",
+    "    \n",
+    "    grp.plot(kind='scatter', x=\"count\", y=\"delta\", ax=ax, marker=next(marks), \n",
+    "    color=next(col), label=name,\n",
+    "    xlabel=\"#jobs submitted by the user\", \n",
+    "    ylabel=\"delta (s), per user\")\n",
+    "    \n",
+    "ax.grid(); ax.set_yscale('symlog'); ax.set_xscale('log')\n",
+    "fig.savefig(f\"{fig_path}/delta_user{suffix}.pdf\")"
+   ]
+  },
   {
    "attachments": {},
    "cell_type": "markdown",
@@ -27999,25 +28148,34 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Which metric scale by input size?\n",
-    "Run the simulation with a subset of the input, to see if it scales.\n",
-    "\n",
-    "With scheduler FCFS:"
+    "### Scalability by input size\n",
+    "Run the simulation with a subset of the input, to see if it scales."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### a0\n",
+    "Prepare cut input:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 61,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Expe cut 10%.\n",
-      "-------\n",
-      "\n",
-      "tail: error writing 'standard output': Broken pipe\n",
+      "tail: error writing 'standard output': Broken pipe\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 2 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
@@ -29152,20 +29310,6 @@
       "Number of users:     132\n",
       "Number of sessions:  6785\n",
       "The output files have been stored in the folder workload/SDSC/a0_cut10\n",
-      "Simulation start.\n",
-      "******************\n",
-      "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:13:18.077] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:13:18.089] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut10/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:13:22.045] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut10/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/log/sched.out.log\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:13:22.045] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:13:22.047] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\n",
-      "******************\n",
-      "Simulation done.\n",
-      "Expe cut 20%.\n",
-      "-------\n",
-      "\n",
       "tail: error writing 'standard output': Broken pipe\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
@@ -31771,20 +31915,6 @@
       "Number of users:     170\n",
       "Number of sessions:  13400\n",
       "The output files have been stored in the folder workload/SDSC/a0_cut20\n",
-      "Simulation start.\n",
-      "******************\n",
-      "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:13:23.516] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:13:23.526] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut20/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:13:31.176] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut20/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/log/sched.out.log\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:13:31.176] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:13:31.178] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\n",
-      "******************\n",
-      "Simulation done.\n",
-      "Expe cut 30%.\n",
-      "-------\n",
-      "\n",
       "tail: error writing 'standard output': Broken pipe\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
@@ -34564,20 +34694,6 @@
       "Number of users:     173\n",
       "Number of sessions:  20662\n",
       "The output files have been stored in the folder workload/SDSC/a0_cut30\n",
-      "Simulation start.\n",
-      "******************\n",
-      "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:13:33.151] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:13:33.161] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut30/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:13:44.792] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:13:44.793] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:13:44.796] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut30/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/log/sched.out.log\n",
-      "\n",
-      "******************\n",
-      "Simulation done.\n",
-      "Expe cut 40%.\n",
-      "-------\n",
-      "\n",
       "tail: error writing 'standard output': Broken pipe\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
@@ -37845,20 +37961,6 @@
       "Number of users:     184\n",
       "Number of sessions:  27768\n",
       "The output files have been stored in the folder workload/SDSC/a0_cut40\n",
-      "Simulation start.\n",
-      "******************\n",
-      "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:13:47.148] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:13:47.160] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut40/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:14:02.669] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:14:02.669] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:14:02.679] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut40/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/log/sched.out.log\n",
-      "\n",
-      "******************\n",
-      "Simulation done.\n",
-      "Expe cut 50%.\n",
-      "-------\n",
-      "\n",
       "tail: error writing 'standard output': Broken pipe\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
@@ -42362,20 +42464,6 @@
       "Number of users:     199\n",
       "Number of sessions:  34500\n",
       "The output files have been stored in the folder workload/SDSC/a0_cut50\n",
-      "Simulation start.\n",
-      "******************\n",
-      "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:14:05.351] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:14:05.363] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut50/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:14:25.042] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:14:25.042] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:14:25.052] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut50/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/log/sched.out.log\n",
-      "\n",
-      "******************\n",
-      "Simulation done.\n",
-      "Expe cut 60%.\n",
-      "-------\n",
-      "\n",
       "tail: error writing 'standard output': Broken pipe\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
@@ -48515,20 +48603,6 @@
       "Number of users:     241\n",
       "Number of sessions:  41031\n",
       "The output files have been stored in the folder workload/SDSC/a0_cut60\n",
-      "Simulation start.\n",
-      "******************\n",
-      "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:14:28.200] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:14:28.218] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut60/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:14:52.501] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:14:52.501] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:14:52.515] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut60/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/log/sched.out.log\n",
-      "\n",
-      "******************\n",
-      "Simulation done.\n",
-      "Expe cut 70%.\n",
-      "-------\n",
-      "\n",
       "tail: error writing 'standard output': Broken pipe\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
@@ -55892,20 +55966,6 @@
       "Number of users:     267\n",
       "Number of sessions:  47769\n",
       "The output files have been stored in the folder workload/SDSC/a0_cut70\n",
-      "Simulation start.\n",
-      "******************\n",
-      "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:14:55.770] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:14:55.782] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut70/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:15:24.297] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:15:24.297] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:15:24.309] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut70/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/log/sched.out.log\n",
-      "\n",
-      "******************\n",
-      "Simulation done.\n",
-      "Expe cut 80%.\n",
-      "-------\n",
-      "\n",
       "tail: error writing 'standard output': Broken pipe\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
@@ -64539,20 +64599,6 @@
       "Number of users:     332\n",
       "Number of sessions:  54483\n",
       "The output files have been stored in the folder workload/SDSC/a0_cut80\n",
-      "Simulation start.\n",
-      "******************\n",
-      "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:15:28.027] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:15:28.040] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut80/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:01.465] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:01.465] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:01.480] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut80/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/log/sched.out.log\n",
-      "\n",
-      "******************\n",
-      "Simulation done.\n",
-      "Expe cut 90%.\n",
-      "-------\n",
-      "\n",
       "tail: error writing 'standard output': Broken pipe\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
@@ -74881,15 +74927,162 @@
       "66146 jobs parsed, 5161 jobs were filtered out as they did not pass the sanity checks\n",
       "Number of users:     380\n",
       "Number of sessions:  60985\n",
-      "The output files have been stored in the folder workload/SDSC/a0_cut90\n",
+      "The output files have been stored in the folder workload/SDSC/a0_cut90\n"
+     ]
+    }
+   ],
+   "source": [
+    "tot_lines = (end_data_in_swf - begin_data_in_swf) + 1\n",
+    "\n",
+    "for k in range(10, 100, 10):\n",
+    "    # Cut the input\n",
+    "    wl = f\"{WL_folder}/a0_cut{k}\"\n",
+    "    nb_lines = int(tot_lines * k / 100)\n",
+    "    ! tail -n +{begin_data_in_swf} {WL_swf_path} | head -n {nb_lines} > workload/tmp_wl.swf\n",
+    "    ! swf2userSessions workload/tmp_wl.swf {wl} -a 0\n",
+    "\n",
+    "    # Clean temp file\n",
+    "    ! rm workload/tmp_wl.swf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Expe FCFS cut 10%.\n",
+      "-------\n",
+      "\n",
       "Simulation start.\n",
       "******************\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:05.299] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:05.310] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut10/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:09.354] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:09.354] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:09.355] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut10/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut10/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe FCFS cut 20%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:09.621] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:09.630] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut20/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:17.072] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut20/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:17.072] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:17.073] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut20/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe FCFS cut 30%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:17.349] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:17.361] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut30/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:29.019] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:29.019] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:29.021] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut30/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut30/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe FCFS cut 40%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:29.284] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:29.295] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut40/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:45.449] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:45.449] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:45.456] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut40/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut40/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe FCFS cut 50%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:45.729] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:12:45.740] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut50/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:13:05.687] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:13:05.687] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:13:05.693] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut50/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut50/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe FCFS cut 60%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:13:05.988] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:13:05.998] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut60/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:13:30.005] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:13:30.005] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:13:30.013] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut60/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut60/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe FCFS cut 70%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:13:30.287] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:13:30.297] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut70/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:13:58.397] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:13:58.397] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:13:58.409] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut70/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut70/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe FCFS cut 80%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:13:58.688] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:13:58.702] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut80/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:14:30.342] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:14:30.342] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:14:30.357] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut80/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut80/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe FCFS cut 90%.\n",
+      "-------\n",
       "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:05.437] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:05.448] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut90/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:43.972] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:43.972] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:43.988] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut90/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/log/sched.out.log\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:14:30.643] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:14:30.655] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut90/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:09.283] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_FCFS_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:09.283] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:09.296] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a0_FCFS_cut90/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_FCFS_cut90/log/sched.out.log\n",
       "\n",
       "******************\n",
       "Simulation done.\n"
@@ -74897,16 +75090,12 @@
     }
    ],
    "source": [
-    "tot_lines = (end_data_in_swf - begin_data_in_swf) + 1\n",
+    "# Run the simulations on each input, with scheduler FCFS:\n",
     "pf = f\"{PF_folder}/infra.xml\"\n",
     "\n",
     "for k in range(10, 100, 10):\n",
-    "    print(f\"Expe cut {k}%.\\n-------\\n\")\n",
-    "    # Cut the input\n",
+    "    print(f\"Expe FCFS cut {k}%.\\n-------\\n\")\n",
     "    wl = f\"{WL_folder}/a0_cut{k}\"\n",
-    "    nb_lines = int(tot_lines * k / 100)\n",
-    "    ! tail -n +{begin_data_in_swf} {WL_swf_path} | head -n {nb_lines} > workload/tmp_wl.swf\n",
-    "    ! swf2userSessions workload/tmp_wl.swf {wl} -a 0\n",
     "\n",
     "    # Run simu\n",
     "    EXPE_FILE = f\"{EXPE_DIR}/a0_FCFS_cut{k}\"\n",
@@ -74917,24 +75106,177 @@
     "        --batcmd=\"batsim -p {pf} --quiet -w {empty_wl} -e {EXPE_FILE}/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\"\\\n",
     "        --schedcmd='batmen --verbosity=silent -v fcfs --variant_options_filepath={uf}'\n",
     "    ! robin {EXPE_FILE}.yaml\n",
-    "    print(\"\\n******************\\nSimulation done.\")\n",
-    "\n",
-    "    # Clean inputs\n",
-    "    ! rm workload/tmp_wl.swf\n",
-    "    ! rm -r {wl}"
+    "    print(\"\\n******************\\nSimulation done.\")"
    ]
   },
   {
-   "attachments": {},
-   "cell_type": "markdown",
+   "cell_type": "code",
+   "execution_count": 23,
    "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Expe cut 10%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:09.572] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:09.582] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut10/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:13.640] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut10/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:13.640] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:13.642] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 20%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:13.915] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:13.925] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut20/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:21.503] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut20/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:21.503] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:21.506] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 30%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:21.780] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:21.790] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut30/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:32.958] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut30/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:32.958] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:32.960] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 40%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:33.239] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:33.249] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut40/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:48.690] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:48.690] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:48.694] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut40/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 50%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:48.964] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:15:48.974] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut50/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:16:08.289] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:16:08.289] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:16:08.296] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut50/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 60%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:16:08.538] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:16:08.548] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut60/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:16:33.190] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:16:33.190] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:16:33.197] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut60/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 70%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:16:33.472] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:16:33.482] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut70/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:17:01.340] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:17:01.340] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:17:01.347] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut70/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 80%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:17:01.611] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:17:01.621] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut80/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:17:34.128] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:17:34.128] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:17:34.143] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut80/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 90%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:17:34.439] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:17:34.453] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut90/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:12.069] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:12.069] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:12.078] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut90/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n"
+     ]
+    }
+   ],
    "source": [
-    "With scheduler EASY:"
+    "# With scheduler EASY:\n",
+    "pf = f\"{PF_folder}/infra.xml\"\n",
+    "\n",
+    "for k in range(10, 100, 10):\n",
+    "    print(f\"Expe cut {k}%.\\n-------\\n\")\n",
+    "    # Cut the input\n",
+    "    wl = f\"{WL_folder}/a0_cut{k}\"\n",
+    "\n",
+    "    # Run simu\n",
+    "    EXPE_FILE = f\"{EXPE_DIR}/a0_EASY_cut{k}\"\n",
+    "    uf = gen_user_description_file(EXPE_FILE , \"fb_user_think_time_only\", wl, \".SABjson\")\n",
+    "\n",
+    "    print(\"Simulation start.\\n******************\\n\")\n",
+    "    ! robin generate {EXPE_FILE}.yaml --output-dir={EXPE_FILE} \\\n",
+    "        --batcmd=\"batsim -p {pf} --quiet -w {empty_wl} -e {EXPE_FILE}/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\"\\\n",
+    "        --schedcmd='batmen --verbosity=silent -v easy_bf --variant_options_filepath={uf}'\n",
+    "    ! robin {EXPE_FILE}.yaml\n",
+    "    print(\"\\n******************\\nSimulation done.\")"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 62,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -74944,6 +75286,249 @@
       "Expe cut 10%.\n",
       "-------\n",
       "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:12.355] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut10_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:12.366] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut10_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut10_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:16.339] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut10_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_double_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:16.340] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:16.341] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut10_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:16.614] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut10_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:16.624] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut10_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut10_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:21.006] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut10_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_half_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:21.006] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:21.008] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut10_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 20%.\n",
+      "-------\n",
+      "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:21.273] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut20_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:21.283] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut20_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut20_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:29.486] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut20_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_double_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:29.486] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:29.489] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut20_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:29.739] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut20_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:29.749] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut20_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut20_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:37.847] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut20_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_half_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:37.847] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:37.847] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut20_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 30%.\n",
+      "-------\n",
+      "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:38.126] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut30_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:38.137] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut30_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut30_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:48.783] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut30_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:48.783] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:48.784] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut30_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_double_speed/log/sched.out.log\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:49.062] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut30_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:18:49.074] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut30_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut30_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:00.609] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut30_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_half_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:00.609] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:00.609] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut30_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 40%.\n",
+      "-------\n",
+      "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:00.886] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut40_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:00.895] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut40_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut40_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:15.212] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut40_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:15.212] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:15.218] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut40_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_double_speed/log/sched.out.log\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:15.475] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut40_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:15.485] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut40_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut40_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:31.129] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut40_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:31.129] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:31.138] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut40_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40_half_speed/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 50%.\n",
+      "-------\n",
+      "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:31.410] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut50_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:31.420] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut50_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut50_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:49.548] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut50_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:49.548] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:49.561] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut50_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_double_speed/log/sched.out.log\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:49.836] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut50_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:19:49.847] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut50_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut50_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:20:09.887] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut50_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:20:09.887] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:20:09.900] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut50_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50_half_speed/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 60%.\n",
+      "-------\n",
+      "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:20:10.178] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut60_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:20:10.189] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut60_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut60_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:20:32.934] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut60_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:20:32.934] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:20:32.947] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut60_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_double_speed/log/sched.out.log\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:20:33.214] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut60_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:20:33.225] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut60_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut60_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:20:57.294] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut60_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:20:57.294] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:20:57.307] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut60_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60_half_speed/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 70%.\n",
+      "-------\n",
+      "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:20:57.592] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut70_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:20:57.602] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut70_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut70_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:21:23.975] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut70_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:21:23.975] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:21:23.987] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut70_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_double_speed/log/sched.out.log\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:21:24.276] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut70_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:21:24.287] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut70_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut70_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:21:52.621] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut70_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:21:52.621] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:21:52.633] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut70_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70_half_speed/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 80%.\n",
+      "-------\n",
+      "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:21:52.913] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut80_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:21:52.923] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut80_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut80_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:22:24.048] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut80_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:22:24.048] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:22:24.057] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut80_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_double_speed/log/sched.out.log\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:22:24.336] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut80_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:22:24.347] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut80_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut80_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:22:58.395] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut80_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:22:58.395] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:22:58.414] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut80_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80_half_speed/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 90%.\n",
+      "-------\n",
+      "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:22:58.686] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut90_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:22:58.696] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut90_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut90_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:23:34.671] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut90_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:23:34.671] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:23:34.682] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut90_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_double_speed/log/sched.out.log\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:23:34.969] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut90_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:23:34.979] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut90_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut90_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:13.607] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut90_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:13.607] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:13.623] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut90_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90_half_speed/log/sched.out.log\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# With speed*2 and speed/2:\n",
+    "pf_double = f\"{PF_folder}/double_speed.xml\"\n",
+    "pf_half = f\"{PF_folder}/half_speed.xml\"\n",
+    "\n",
+    "for k in range(10, 100, 10):\n",
+    "    print(f\"Expe cut {k}%.\\n-------\\n\")\n",
+    "    # Cut the input\n",
+    "    wl = f\"{WL_folder}/a0_cut{k}\"\n",
+    "\n",
+    "    print(\"Speed*2:\\n******************\\n\")\n",
+    "    EXPE_FILE = f\"{EXPE_DIR}/a0_EASY_cut{k}_double_speed\"\n",
+    "    uf = gen_user_description_file(EXPE_FILE, \"fb_user_think_time_only\", wl, \".SABjson\")\n",
+    "    ! robin generate {EXPE_FILE}.yaml --output-dir={EXPE_FILE} \\\n",
+    "        --batcmd=\"batsim -p {pf_double} --quiet -w {empty_wl} -e {EXPE_FILE}/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\"\\\n",
+    "        --schedcmd='batmen --verbosity=silent -v easy_bf --variant_options_filepath={uf}'\n",
+    "    ! robin {EXPE_FILE}.yaml\n",
+    "\n",
+    "    print(\"Speed/2:\\n******************\\n\")\n",
+    "    EXPE_FILE = f\"{EXPE_DIR}/a0_EASY_cut{k}_half_speed\"\n",
+    "    uf = gen_user_description_file(EXPE_FILE, \"fb_user_think_time_only\", wl, \".SABjson\")\n",
+    "    ! robin generate {EXPE_FILE}.yaml --output-dir={EXPE_FILE} \\\n",
+    "        --batcmd=\"batsim -p {pf_half} --quiet -w {empty_wl} -e {EXPE_FILE}/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\"\\\n",
+    "        --schedcmd='batmen --verbosity=silent -v easy_bf --variant_options_filepath={uf}'\n",
+    "    ! robin {EXPE_FILE}.yaml\n",
+    "    print(\"\\n******************\\nSimulation done.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### a60\n",
+    "Prepare cut input"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
       "tail: error writing 'standard output': Broken pipe\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
@@ -76077,22 +76662,8 @@
       "SWF parsing done.\n",
       "7349 jobs parsed, 564 jobs were filtered out as they did not pass the sanity checks\n",
       "Number of users:     132\n",
-      "Number of sessions:  6785\n",
-      "The output files have been stored in the folder workload/SDSC/a0_cut10\n",
-      "Simulation start.\n",
-      "******************\n",
-      "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:45.183] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:45.194] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut10/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:49.308] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut10/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/log/sched.out.log\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:49.308] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:49.310] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut10/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\n",
-      "******************\n",
-      "Simulation done.\n",
-      "Expe cut 20%.\n",
-      "-------\n",
-      "\n",
+      "Number of sessions:  2343\n",
+      "The output files have been stored in the folder workload/SDSC/a60_cut10\n",
       "tail: error writing 'standard output': Broken pipe\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
@@ -78696,22 +79267,8 @@
       "SWF parsing done.\n",
       "14699 jobs parsed, 1299 jobs were filtered out as they did not pass the sanity checks\n",
       "Number of users:     170\n",
-      "Number of sessions:  13400\n",
-      "The output files have been stored in the folder workload/SDSC/a0_cut20\n",
-      "Simulation start.\n",
-      "******************\n",
-      "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:50.905] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:50.915] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut20/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:58.788] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut20/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/log/sched.out.log\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:58.788] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:16:58.789] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut20/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\n",
-      "******************\n",
-      "Simulation done.\n",
-      "Expe cut 30%.\n",
-      "-------\n",
-      "\n",
+      "Number of sessions:  3890\n",
+      "The output files have been stored in the folder workload/SDSC/a60_cut20\n",
       "tail: error writing 'standard output': Broken pipe\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
@@ -81489,22 +82046,8 @@
       "SWF parsing done.\n",
       "22048 jobs parsed, 1386 jobs were filtered out as they did not pass the sanity checks\n",
       "Number of users:     173\n",
-      "Number of sessions:  20662\n",
-      "The output files have been stored in the folder workload/SDSC/a0_cut30\n",
-      "Simulation start.\n",
-      "******************\n",
-      "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:17:00.853] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:17:00.864] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut30/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:17:12.470] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut30/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/log/sched.out.log\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:17:12.470] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:17:12.471] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut30/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\n",
-      "******************\n",
-      "Simulation done.\n",
-      "Expe cut 40%.\n",
-      "-------\n",
-      "\n",
+      "Number of sessions:  4120\n",
+      "The output files have been stored in the folder workload/SDSC/a60_cut30\n",
       "tail: error writing 'standard output': Broken pipe\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
@@ -84770,22 +85313,8 @@
       "SWF parsing done.\n",
       "29398 jobs parsed, 1630 jobs were filtered out as they did not pass the sanity checks\n",
       "Number of users:     184\n",
-      "Number of sessions:  27768\n",
-      "The output files have been stored in the folder workload/SDSC/a0_cut40\n",
-      "Simulation start.\n",
-      "******************\n",
-      "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:17:14.966] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:17:14.979] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut40/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:17:30.837] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:17:30.837] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:17:30.843] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut40/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut40/log/sched.out.log\n",
-      "\n",
-      "******************\n",
-      "Simulation done.\n",
-      "Expe cut 50%.\n",
-      "-------\n",
-      "\n",
+      "Number of sessions:  4815\n",
+      "The output files have been stored in the folder workload/SDSC/a60_cut40\n",
       "tail: error writing 'standard output': Broken pipe\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
@@ -89287,22 +89816,8 @@
       "SWF parsing done.\n",
       "36748 jobs parsed, 2248 jobs were filtered out as they did not pass the sanity checks\n",
       "Number of users:     199\n",
-      "Number of sessions:  34500\n",
-      "The output files have been stored in the folder workload/SDSC/a0_cut50\n",
-      "Simulation start.\n",
-      "******************\n",
-      "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:17:33.599] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:17:33.609] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut50/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:17:53.066] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:17:53.066] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:17:53.079] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut50/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut50/log/sched.out.log\n",
-      "\n",
-      "******************\n",
-      "Simulation done.\n",
-      "Expe cut 60%.\n",
-      "-------\n",
-      "\n",
+      "Number of sessions:  6642\n",
+      "The output files have been stored in the folder workload/SDSC/a60_cut50\n",
       "tail: error writing 'standard output': Broken pipe\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
@@ -95440,22 +95955,8 @@
       "SWF parsing done.\n",
       "44097 jobs parsed, 3066 jobs were filtered out as they did not pass the sanity checks\n",
       "Number of users:     241\n",
-      "Number of sessions:  41031\n",
-      "The output files have been stored in the folder workload/SDSC/a0_cut60\n",
-      "Simulation start.\n",
-      "******************\n",
-      "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:17:56.118] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:17:56.129] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut60/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:18:19.669] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:18:19.669] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:18:19.679] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut60/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut60/log/sched.out.log\n",
-      "\n",
-      "******************\n",
-      "Simulation done.\n",
-      "Expe cut 70%.\n",
-      "-------\n",
-      "\n",
+      "Number of sessions:  8682\n",
+      "The output files have been stored in the folder workload/SDSC/a60_cut60\n",
       "tail: error writing 'standard output': Broken pipe\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
@@ -102817,22 +103318,8 @@
       "SWF parsing done.\n",
       "51447 jobs parsed, 3678 jobs were filtered out as they did not pass the sanity checks\n",
       "Number of users:     267\n",
-      "Number of sessions:  47769\n",
-      "The output files have been stored in the folder workload/SDSC/a0_cut70\n",
-      "Simulation start.\n",
-      "******************\n",
-      "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:18:23.006] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:18:23.017] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut70/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:18:50.873] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:18:50.873] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:18:50.885] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut70/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut70/log/sched.out.log\n",
-      "\n",
-      "******************\n",
-      "Simulation done.\n",
-      "Expe cut 80%.\n",
-      "-------\n",
-      "\n",
+      "Number of sessions:  10434\n",
+      "The output files have been stored in the folder workload/SDSC/a60_cut70\n",
       "tail: error writing 'standard output': Broken pipe\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
@@ -111464,22 +111951,8 @@
       "SWF parsing done.\n",
       "58796 jobs parsed, 4313 jobs were filtered out as they did not pass the sanity checks\n",
       "Number of users:     332\n",
-      "Number of sessions:  54483\n",
-      "The output files have been stored in the folder workload/SDSC/a0_cut80\n",
-      "Simulation start.\n",
-      "******************\n",
-      "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:18:54.651] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:18:54.662] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut80/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:19:27.893] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:19:27.893] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:19:27.908] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut80/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut80/log/sched.out.log\n",
-      "\n",
-      "******************\n",
-      "Simulation done.\n",
-      "Expe cut 90%.\n",
-      "-------\n",
-      "\n",
+      "Number of sessions:  13227\n",
+      "The output files have been stored in the folder workload/SDSC/a60_cut80\n",
       "tail: error writing 'standard output': Broken pipe\n",
       "/nix/store/c3wjnmdi76dqhfphrxg6yffczg1w81c7-python3.10-swf2userSessions-612382de6965bce418a34acb1cc764c5c2b622c9/lib/python3.10/site-packages/swf2userSessions/swf2sessions.py:100: UserWarning: Invalid job: job 1 has ALLOCATED_PROCESSOR_COUNT <= 0\n",
       "  warnings.warn(f\"Invalid job: job {job.id} has ALLOCATED_PROCESSOR_COUNT <= 0\")\n",
@@ -121807,16 +122280,157 @@
       "SWF parsing done.\n",
       "66146 jobs parsed, 5161 jobs were filtered out as they did not pass the sanity checks\n",
       "Number of users:     380\n",
-      "Number of sessions:  60985\n",
-      "The output files have been stored in the folder workload/SDSC/a0_cut90\n",
+      "Number of sessions:  15633\n",
+      "The output files have been stored in the folder workload/SDSC/a60_cut90\n"
+     ]
+    }
+   ],
+   "source": [
+    "tot_lines = (end_data_in_swf - begin_data_in_swf) + 1\n",
+    "\n",
+    "for k in range(10, 100, 10):\n",
+    "    # Cut the input\n",
+    "    wl = f\"{WL_folder}/a60_cut{k}\"\n",
+    "    nb_lines = int(tot_lines * k / 100)\n",
+    "    ! tail -n +{begin_data_in_swf} {WL_swf_path} | head -n {nb_lines} > workload/tmp_wl.swf\n",
+    "    ! swf2userSessions workload/tmp_wl.swf {wl} -a 60\n",
+    "\n",
+    "    # Clean temp file\n",
+    "    ! rm workload/tmp_wl.swf"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Expe FCFS cut 10%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:25.987] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:25.999] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut10/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut10/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut10/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut10/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut10/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut10/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:29.815] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut10/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut10/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut10/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut10/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:29.815] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:29.817] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut10/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut10/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe FCFS cut 20%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:30.067] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:30.077] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut20/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut20/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut20/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut20/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut20/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut20/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:37.471] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut20/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut20/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut20/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut20/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:37.471] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:37.474] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut20/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut20/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe FCFS cut 30%.\n",
+      "-------\n",
+      "\n",
       "Simulation start.\n",
       "******************\n",
       "\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:19:32.520] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:19:32.532] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut90/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:20:10.945] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a0_EASY_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:20:10.945] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Scheduler \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
-      "\u001b[36mINFO\u001b[0m[2023-07-21 09:20:10.964] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a0_EASY_cut90/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a0_EASY_cut90/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:37.739] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:37.752] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut30/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut30/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut30/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut30/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut30/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut30/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:48.401] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut30/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut30/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut30/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut30/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:48.401] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:48.406] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut30/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut30/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe FCFS cut 40%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:48.680] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:24:48.690] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut40/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut40/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut40/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut40/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut40/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut40/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:25:03.253] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut40/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut40/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut40/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut40/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:25:03.254] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:25:03.259] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut40/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut40/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe FCFS cut 50%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:25:03.529] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:25:03.539] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut50/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut50/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut50/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut50/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut50/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut50/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:25:22.024] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut50/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut50/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut50/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut50/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:25:22.024] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:25:22.030] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut50/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut50/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe FCFS cut 60%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:25:22.308] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:25:22.318] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut60/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut60/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut60/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut60/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut60/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut60/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:25:45.541] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut60/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut60/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut60/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut60/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:25:45.541] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:25:45.550] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut60/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut60/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe FCFS cut 70%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:25:45.827] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:25:45.837] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut70/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut70/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut70/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut70/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut70/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut70/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:26:12.074] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut70/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut70/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut70/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut70/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:26:12.074] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:26:12.081] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut70/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut70/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe FCFS cut 80%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:26:12.361] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:26:12.374] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut80/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut80/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut80/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut80/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut80/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut80/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:26:43.739] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut80/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut80/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut80/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut80/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:26:43.739] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:26:43.749] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut80/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut80/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe FCFS cut 90%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:26:44.018] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:26:44.030] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut90/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut90/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut90/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut90/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut90/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut90/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:19.116] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v fcfs --variant_options_filepath=out/expe_replay_SDSC/a60_FCFS_cut90/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut90/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut90/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut90/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:19.116] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:19.126] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_FCFS_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut90/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_FCFS_cut90/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
       "\n",
       "******************\n",
       "Simulation done.\n"
@@ -121824,19 +122438,175 @@
     }
    ],
    "source": [
-    "tot_lines = (end_data_in_swf - begin_data_in_swf) + 1\n",
+    "# Run the simulations on each input, with scheduler FCFS:\n",
+    "pf = f\"{PF_folder}/infra.xml\"\n",
+    "\n",
+    "for k in range(10, 100, 10):\n",
+    "    print(f\"Expe FCFS cut {k}%.\\n-------\\n\")\n",
+    "    # Cut the input\n",
+    "    wl = f\"{WL_folder}/a60_cut{k}\"\n",
+    "\n",
+    "    # Run simu\n",
+    "    EXPE_FILE = f\"{EXPE_DIR}/a60_FCFS_cut{k}\"\n",
+    "    uf = gen_user_description_file(EXPE_FILE , \"fb_user_think_time_only\", wl, \".SABjson\")\n",
+    "\n",
+    "    print(\"Simulation start.\\n******************\\n\")\n",
+    "    ! robin generate {EXPE_FILE}.yaml --output-dir={EXPE_FILE} \\\n",
+    "        --batcmd=\"batsim -p {pf} --quiet -w {empty_wl} -e {EXPE_FILE}/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\"\\\n",
+    "        --schedcmd='batmen --verbosity=silent -v fcfs --variant_options_filepath={uf}'\n",
+    "    ! robin {EXPE_FILE}.yaml\n",
+    "    print(\"\\n******************\\nSimulation done.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Expe cut 10%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:19.402] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:19.412] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut10/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:23.230] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut10/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:23.230] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:23.233] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut10/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 20%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:23.503] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:23.514] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut20/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:30.872] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut20/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:30.872] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:30.876] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut20/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 30%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:31.152] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:31.162] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut30/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:42.323] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut30/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:42.323] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:42.328] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut30/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 40%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:42.585] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:42.595] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut40/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:57.843] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut40/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:57.843] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:57.850] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut40/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 50%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:58.127] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:27:58.137] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut50/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:28:16.689] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut50/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:28:16.689] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:28:16.695] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut50/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 60%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:28:16.972] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:28:16.981] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut60/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:28:39.108] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut60/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:28:39.108] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:28:39.116] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut60/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 70%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:28:39.388] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:28:39.398] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut70/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:29:07.500] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut70/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:29:07.500] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:29:07.512] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut70/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 80%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:29:07.784] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:29:07.794] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut80/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:29:40.007] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut80/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:29:40.007] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:29:40.019] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut80/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 90%.\n",
+      "-------\n",
+      "\n",
+      "Simulation start.\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:29:40.286] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:29:40.296] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut90/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:18.143] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut90/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:18.143] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:18.157] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/infra.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut90/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# With scheduler EASY:\n",
     "pf = f\"{PF_folder}/infra.xml\"\n",
     "\n",
     "for k in range(10, 100, 10):\n",
     "    print(f\"Expe cut {k}%.\\n-------\\n\")\n",
     "    # Cut the input\n",
-    "    wl = f\"{WL_folder}/a0_cut{k}\"\n",
-    "    nb_lines = int(tot_lines * k / 100)\n",
-    "    ! tail -n +{begin_data_in_swf} {WL_swf_path} | head -n {nb_lines} > workload/tmp_wl.swf\n",
-    "    ! swf2userSessions workload/tmp_wl.swf {wl} -a 0\n",
+    "    wl = f\"{WL_folder}/a60_cut{k}\"\n",
     "\n",
     "    # Run simu\n",
-    "    EXPE_FILE = f\"{EXPE_DIR}/a0_EASY_cut{k}\"\n",
+    "    EXPE_FILE = f\"{EXPE_DIR}/a60_EASY_cut{k}\"\n",
     "    uf = gen_user_description_file(EXPE_FILE , \"fb_user_think_time_only\", wl, \".SABjson\")\n",
     "\n",
     "    print(\"Simulation start.\\n******************\\n\")\n",
@@ -121844,17 +122614,366 @@
     "        --batcmd=\"batsim -p {pf} --quiet -w {empty_wl} -e {EXPE_FILE}/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\"\\\n",
     "        --schedcmd='batmen --verbosity=silent -v easy_bf --variant_options_filepath={uf}'\n",
     "    ! robin {EXPE_FILE}.yaml\n",
-    "    print(\"\\n******************\\nSimulation done.\")\n",
+    "    print(\"\\n******************\\nSimulation done.\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Expe cut 10%.\n",
+      "-------\n",
+      "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:18.433] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut10_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:18.443] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut10_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut10_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:22.312] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut10_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_double_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:22.312] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:22.315] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut10_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:22.589] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut10_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:22.599] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut10_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut10_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:26.557] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut10_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_half_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:26.557] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:26.559] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut10_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut10_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 20%.\n",
+      "-------\n",
+      "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:26.825] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut20_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:26.835] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut20_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut20_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:34.413] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut20_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_double_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:34.413] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:34.417] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut20_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:34.682] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut20_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:34.691] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut20_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut20_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "^C\n",
+      "\u001b[33mWARN\u001b[0m[2023-07-28 13:30:35.643] SIGTERM received. Killing remaining subprocesses. \n",
+      "\u001b[33mWARN\u001b[0m[2023-07-28 13:30:35.643] Killing process                               \u001b[33mname\u001b[0m=Scheduler \u001b[33mpid\u001b[0m=23669\n",
+      "\u001b[33mWARN\u001b[0m[2023-07-28 13:30:35.643] Killing process                               \u001b[33mname\u001b[0m=Batsim \u001b[33mpid\u001b[0m=23670\n",
+      "\u001b[31mERRO\u001b[0m[2023-07-28 13:30:35.643] Simulation subprocess failed                  \u001b[31mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut20_half_speed/cmd/user_description_file.json\" \u001b[31mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_half_speed/cmd/sched.bash \u001b[31merr\u001b[0m=\"signal: terminated\" \u001b[31mprocess name\u001b[0m=Scheduler \u001b[31msimulation timeout (seconds)\u001b[0m=604800 \u001b[31mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_half_speed/log/sched.err.log \u001b[31mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_half_speed/log/sched.out.log\n",
+      "\u001b[31mERRO\u001b[0m[2023-07-28 13:30:35.643] Simulation subprocess failed                  \u001b[31mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut20_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[31mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_half_speed/cmd/batsim.bash \u001b[31merr\u001b[0m=\"signal: terminated\" \u001b[31mprocess name\u001b[0m=Batsim \u001b[31msimulation timeout (seconds)\u001b[0m=604800 \u001b[31mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut20_half_speed/log/batsim.log \u001b[31mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "Content of Batsim's stderr log:\n",
+      "+ batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut20_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\n",
+      "[0.000000] [batsim/INFO] Workload 'w0' corresponds to workload file '/home/mael/git/expe-replay-feedback/workload/empty_workload.json'.\n",
+      "[0.000000] [batsim/INFO] Batsim version: 4.1.0\n",
+      "[0.000000] [xbt_cfg/INFO] Configuration change: Set 'host/model' to 'ptask_L07'\n",
+      "[0.000000] [batsim/INFO] Checking whether SMPI is used or not...\n",
+      "[0.000000] [xbt_cfg/INFO] Switching to the L07 model to handle parallel tasks.\n",
+      "[0.000000] [batsim/INFO] Batsim's export prefix is 'out/expe_replay_SDSC/a60_EASY_cut20_half_speed/'.\n",
+      "[0.000000] [batsim/INFO] The process 'workload_submitter_w0' has been created.\n",
+      "[0.000000] [batsim/INFO] The process 'server' has been created.\n",
+      "[master_host0:Scheduler REQ-REP:(5787) 1846030.000000] [s4u_actor/INFO] The parameter to sleep_for() is smaller than the SimGrid numerical accuracy (2.32831e-10 < 1e-09). Please refer to https://simgrid.org/doc/latest/Configuring_SimGrid.html#numerical-precision\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:35.645] The second process might be killed soon...    \u001b[36mfailure timeout (seconds)\u001b[0m=5 \u001b[36mpotential victim name\u001b[0m=Scheduler\n",
+      "\n",
+      "Content of Scheduler's stderr log:\n",
+      "+ batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut20_half_speed/cmd/user_description_file.json\n",
+      "\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 30%.\n",
+      "-------\n",
+      "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:35.898] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut30_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:35.908] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut30_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut30_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:47.113] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut30_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_double_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:47.113] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:47.118] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut30_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:47.398] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut30_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:47.408] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut30_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut30_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:59.031] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut30_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_half_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:59.031] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:59.033] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut30_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut30_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 40%.\n",
+      "-------\n",
+      "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:59.304] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut40_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:30:59.314] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut40_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut40_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:31:14.967] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut40_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_double_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:31:14.967] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:31:14.973] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut40_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:31:15.247] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut40_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:31:15.256] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut40_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut40_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:31:30.863] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut40_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_half_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:31:30.863] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:31:30.866] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut40_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut40_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 50%.\n",
+      "-------\n",
+      "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:31:31.140] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut50_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:31:31.151] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut50_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut50_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:31:50.365] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut50_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_double_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:31:50.365] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:31:50.374] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut50_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:31:50.637] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut50_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:31:50.647] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut50_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut50_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:32:11.897] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut50_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_half_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:32:11.897] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:32:11.904] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut50_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut50_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 60%.\n",
+      "-------\n",
+      "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:32:12.165] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut60_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:32:12.175] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut60_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut60_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:32:37.209] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut60_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_double_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:32:37.209] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:32:37.217] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut60_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:32:37.491] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut60_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:32:37.501] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut60_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut60_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:33:01.053] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut60_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_half_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:33:01.053] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:33:01.060] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut60_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut60_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 70%.\n",
+      "-------\n",
+      "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:33:01.332] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut70_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:33:01.341] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut70_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut70_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:33:27.325] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut70_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_double_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:33:27.325] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:33:27.336] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut70_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:33:27.607] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut70_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:33:27.617] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut70_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut70_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:33:56.365] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut70_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_half_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:33:56.365] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:33:56.377] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut70_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut70_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 80%.\n",
+      "-------\n",
+      "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:33:56.634] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut80_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:33:56.645] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut80_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut80_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:34:28.342] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut80_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_double_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:34:28.342] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:34:28.343] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut80_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:34:28.596] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut80_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:34:28.606] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut80_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut80_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:35:01.802] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut80_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_half_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:35:01.802] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:35:01.811] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut80_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut80_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n",
+      "Expe cut 90%.\n",
+      "-------\n",
+      "\n",
+      "Speed*2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:35:02.066] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut90_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:35:02.076] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_double_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut90_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_double_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_double_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut90_double_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_double_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_double_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:35:37.989] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut90_double_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_double_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_double_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_double_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:35:37.989] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:35:38.002] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/double_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut90_double_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_double_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_double_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "Speed/2:\n",
+      "******************\n",
+      "\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:35:38.277] Waiting for valid context                     \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut90_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mextracted socket endpoint\u001b[0m=\"tcp://localhost:28000\" \u001b[36mready timeout (seconds)\u001b[0m=10\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:35:38.286] Starting simulation                           \u001b[36mbatsim cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_half_speed/cmd/batsim.bash \u001b[36mbatsim command\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut90_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mbatsim logfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_half_speed/log/batsim.log \u001b[36mscheduler cmdfile\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_half_speed/cmd/sched.bash \u001b[36mscheduler command\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut90_half_speed/cmd/user_description_file.json\" \u001b[36mscheduler logfile (err)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_half_speed/log/sched.err.log \u001b[36mscheduler logfile (out)\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_half_speed/log/sched.out.log \u001b[36msimulation timeout (seconds)\u001b[0m=604800\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:36:18.346] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batmen --verbosity=silent -v easy_bf --variant_options_filepath=out/expe_replay_SDSC/a60_EASY_cut90_half_speed/cmd/user_description_file.json\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_half_speed/cmd/sched.bash \u001b[36mprocess name\u001b[0m=Scheduler \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_half_speed/log/sched.err.log \u001b[36mstdout file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_half_speed/log/sched.out.log\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:36:18.346] The second process might be killed soon...    \u001b[36mpotential victim name\u001b[0m=Batsim \u001b[36msuccess timeout (seconds)\u001b[0m=3600\n",
+      "\u001b[36mINFO\u001b[0m[2023-07-28 13:36:18.359] Simulation subprocess succeeded               \u001b[36mcommand\u001b[0m=\"batsim -p platform/SDSC/half_speed.xml --quiet -w workload/empty_workload.json -e out/expe_replay_SDSC/a60_EASY_cut90_half_speed/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\" \u001b[36mcommand file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_half_speed/cmd/batsim.bash \u001b[36mprocess name\u001b[0m=Batsim \u001b[36mstderr file\u001b[0m=out/expe_replay_SDSC/a60_EASY_cut90_half_speed/log/batsim.log \u001b[36mstdout file\u001b[0m=/dev/null\n",
+      "\n",
+      "******************\n",
+      "Simulation done.\n"
+     ]
+    }
+   ],
+   "source": [
+    "# With speed*2 and speed/2:\n",
+    "pf_double = f\"{PF_folder}/double_speed.xml\"\n",
+    "pf_half = f\"{PF_folder}/half_speed.xml\"\n",
+    "\n",
+    "for k in range(10, 100, 10):\n",
+    "    print(f\"Expe cut {k}%.\\n-------\\n\")\n",
+    "    # Cut the input\n",
+    "    wl = f\"{WL_folder}/a60_cut{k}\"\n",
+    "\n",
+    "    print(\"Speed*2:\\n******************\\n\")\n",
+    "    EXPE_FILE = f\"{EXPE_DIR}/a60_EASY_cut{k}_double_speed\"\n",
+    "    uf = gen_user_description_file(EXPE_FILE, \"fb_user_think_time_only\", wl, \".SABjson\")\n",
+    "    ! robin generate {EXPE_FILE}.yaml --output-dir={EXPE_FILE} \\\n",
+    "        --batcmd=\"batsim -p {pf_double} --quiet -w {empty_wl} -e {EXPE_FILE}/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\"\\\n",
+    "        --schedcmd='batmen --verbosity=silent -v easy_bf --variant_options_filepath={uf}'\n",
+    "    ! robin {EXPE_FILE}.yaml\n",
+    "\n",
+    "    print(\"Speed/2:\\n******************\\n\")\n",
+    "    EXPE_FILE = f\"{EXPE_DIR}/a60_EASY_cut{k}_half_speed\"\n",
+    "    uf = gen_user_description_file(EXPE_FILE, \"fb_user_think_time_only\", wl, \".SABjson\")\n",
+    "    ! robin generate {EXPE_FILE}.yaml --output-dir={EXPE_FILE} \\\n",
+    "        --batcmd=\"batsim -p {pf_half} --quiet -w {empty_wl} -e {EXPE_FILE}/ --enable-compute-sharing --enable-dynamic-jobs --acknowledge-dynamic-jobs --enable-profile-reuse\"\\\n",
+    "        --schedcmd='batmen --verbosity=silent -v easy_bf --variant_options_filepath={uf}'\n",
+    "    ! robin {EXPE_FILE}.yaml\n",
+    "    print(\"\\n******************\\nSimulation done.\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Analyze the results:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Text(0.5, 0.98, 'Delta VS strech')"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1600x1000 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "path = {\n",
+    "    \"easy\": {   \n",
+    "        \"a0\": (f\"{EXPE_DIR}/a0_EASY\", \"\"),\n",
+    "        \"a60\": (f\"{EXPE_DIR}/a60_EASY\", \"\")},\n",
+    "    \"fcfs\": {\n",
+    "        \"a0\": (f\"{EXPE_DIR}/a0_FCFS\", \"\"),\n",
+    "        \"a60\": (f\"{EXPE_DIR}/a60_FCFS\", \"\")},\n",
+    "    \"speed*2\": {\n",
+    "        \"a0\": (f\"{EXPE_DIR}/a0_EASY\", \"_double_speed\"),\n",
+    "        \"a60\": (f\"{EXPE_DIR}/a60_EASY\", \"_double_speed\")},\n",
+    "    \"speed/2\": {\n",
+    "        \"a0\": (f\"{EXPE_DIR}/a0_EASY\", \"_half_speed\"),\n",
+    "        \"a60\": (f\"{EXPE_DIR}/a60_EASY\", \"_half_speed\")}\n",
+    "}\n",
+    "styles, marks = {\"a0\": '.--', \"a60\": '+:'}, {\"a0\": '.', \"a60\": '+'}\n",
+    "\n",
+    "def plot_metrics(to_plot, col, style, name):\n",
+    "    to_plot.plot(kind='line', x='nb_jobs', y='mean_lateness', title='mean_lateness (days)', style=style, label=name, ax=ax[0], color=col)\n",
+    "    to_plot.plot(kind='line', x='nb_jobs', y='delta', title='delta (s)', style=style, label=f\"{name}\", ax=ax[1], color=col)\n",
+    "    to_plot.plot(kind='line', x='nb_jobs', y='util', title='mean_utilization (%)', style=style, label=name, ax=ax[2], color=col)\n",
+    "\n",
+    "fig, ax = plt.subplots(ncols=3, figsize=(16,10), layout='constrained', sharex=True)\n",
+    "fig2, ax2 = plt.subplots()\n",
+    "colors = iter([\"tab:blue\", \"tab:orange\", \"tab:red\", \"tab:green\"])\n",
+    "for expe in path.keys():\n",
+    "    col = next(colors)\n",
+    "    for mtd in path[expe].keys():\n",
+    "        met = []\n",
+    "\n",
+    "        for k in range(10, 100, 10):\n",
+    "            pref, suff = path[expe][mtd]\n",
+    "            expe_folder = f\"{pref}_cut{k}{suff}\"\n",
+    "            met.append(metrics(expe_folder))\n",
+    "        met.append(metrics(f\"{pref}{suff}\"))\n",
+    "        to_plot = pd.DataFrame(met)\n",
+    "\n",
+    "        plot_metrics(to_plot, col, styles[mtd], f\"{expe} ({mtd})\")\n",
+    "        to_plot.plot(kind='scatter', x='stretch', y='delta', ax=ax2, color=col, marker=marks[mtd], legend=None)\n",
+    "\n",
+    "\n",
+    "step = 5\n",
+    "y_l, y_r = ax[0].get_ylim(); y_l, y_r = int(y_l / (3600*24) / step) * step, int(y_r / (3600*24) / step) * step\n",
+    "ax[0].set_yticks(np.arange(y_l * 3600*24, (y_r+step) * 3600*24, step=5*3600*24), labels=np.arange(y_l, y_r+step, step=step))    \n",
+    "ax[0].grid(); ax[1].grid(); ax[2].grid()\n",
+    "ax[2].set_ylim(0,100)\n",
+    "fig.suptitle(\"Variation of metrics by input size\", fontsize=16)\n",
     "\n",
-    "    # Clean inputs\n",
-    "    ! rm workload/tmp_wl.swf\n",
-    "    ! rm {EXPE_FILE}.yaml\n",
-    "    ! rm -r {wl}"
+    "ax2.grid()\n",
+    "fig2.suptitle(\"Delta VS strech\", fontsize=16)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 63,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -121937,7 +123056,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 64,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -121985,7 +123104,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 65,
+   "execution_count": null,
    "metadata": {},
    "outputs": [
     {
@@ -122045,7 +123164,7 @@
     "ax[0].grid(); ax[1].grid()\n",
     "ax[1].legend()\n",
     "\n",
-    "fig.savefig(f\"{fig_path}/lateness_delta_evolution_SDSC.pdf\")"
+    "fig.savefig(f\"{fig_path}/lateness_delta_evolution{suffix}.pdf\")"
    ]
   },
   {
diff --git a/sched_metrics.ipynb b/sched_metrics.ipynb
index 2b93a63b0a1d278cafa602bea3ea7b64d4aed2d4..a415f6cba1cb5fe585a7a3a9eced49895ac14fcc 100644
--- a/sched_metrics.ipynb
+++ b/sched_metrics.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -119,6 +119,47 @@
     "print(to_latex.to_latex(escape=True,float_format=\"{:.2f}\".format))"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\\begin{tabular}{lrrrrrr}\n",
+      "\\toprule\n",
+      "{} &  10\\_KTH &  50\\_KTH &  90\\_KTH &  10\\_SDSC &  50\\_SDSC &  90\\_SDSC \\\\\n",
+      "Unnamed: 0 &         &         &         &          &          &          \\\\\n",
+      "\\midrule\n",
+      "FCFS       &      -5 &    8775 &   44525 &        0 &    12141 &    67078 \\\\\n",
+      "EASY       &  -17980 &    -699 &     918 &    -8898 &        0 &     4180 \\\\\n",
+      "speed*2    &  -26247 &   -2186 &     -49 &   -26170 &    -1803 &        0 \\\\\n",
+      "infra*2    &  -25321 &   -1553 &     -18 &   -21738 &    -1288 &        0 \\\\\n",
+      "speed/2    &       0 &   10485 &   47168 &        0 &    15190 &   153976 \\\\\n",
+      "infra/2    &   -8695 &    2586 &   19434 &        0 &    13424 &   119480 \\\\\n",
+      "\\bottomrule\n",
+      "\\end{tabular}\n",
+      "\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/run/user/1000/ipykernel_25758/718579649.py:4: FutureWarning: In future versions `DataFrame.to_latex` is expected to utilise the base implementation of `Styler.to_latex` for formatting and rendering. The arguments signature may therefore change. It is recommended instead to use `DataFrame.style.to_latex` which also contains additional functionality.\n",
+      "  print(to_latex.to_latex(escape=True,float_format=\"{:.0f}\".format))\n"
+     ]
+    }
+   ],
+   "source": [
+    "df_KTH = pd.read_csv(\"out/expe_replay_KTH/delta_user_quantiles.csv\").set_index(\"Unnamed: 0\")\n",
+    "df_SDSC = pd.read_csv(\"out/expe_replay_SDSC/delta_user_quantiles.csv\").set_index(\"Unnamed: 0\")\n",
+    "to_latex = df_KTH.join(df_SDSC,lsuffix=\"_KTH\",rsuffix=\"_SDSC\")\n",
+    "print(to_latex.to_latex(escape=True,float_format=\"{:.0f}\".format))"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,