@@ -42,25 +42,34 @@ The main software used (and configured in the file `default.nix`) are:
- python3, pandas, jupyter, matplotlib etc. for the data analysis
Enter a shell with all dependencies managed. This will take some time (~5mn) to download and compile everything the first time you launch it, but then all the environment is cached for future use.
```bash
nix-shell -A exp_env --pure
```
### 2. Prepare input workload
Inside the nix shell, start a notebook and follow the steps presented in `prepare_workload.ipynb` (~5mn):
```bash
jupyter notebook 0_prepare_workload.ipynb
jupyter notebook prepare_workload.ipynb
```
### 3. Launch the campaign
Still inside the nix shell, launch the python script `campaign.py`. It will prepare and launch in parallel the 105 experiments. Each experiment corresponds to one instance of `instance.py`.
Still inside the nix shell, launch the python script `campaign.py`.
It will prepare and launch in parallel the 105 experiments.
Each experiment corresponds to one instance of `instance.py`.
```bash
python3 campaign.py
```
This step took 89 minutes on an Intel Xeon E5-2630 v3 2x8 cores CPU.
### 4. Analyse the results
Finally and still in the nix shell (otherwise you just need to install with `pip` some python libraries like pandas, evalys, matplotlib...), run this Jupyter notebook to plot the graphs displayed in the article (~10mn):
### 4. Analyze the results
Finally and still in the nix shell
(otherwise you just need to install with `pip` some python libraries like pandas, evalys, matplotlib...),
run this Jupyter notebook to plot the graphs displayed in the article (~10mn):
