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@@ -154,7 +154,44 @@ Visualize the outputs with the visualization script to see if it worked correctl
 ## Session 2: monomachine schedulers
 **Objective for this session:** 
 - implement another monomachine scheduler: EDF
-- compare FCFS and EDF in terms of mean waiting time and tardiness
+- compare FCFS and EDF in terms of waiting time and lateness
+
+### Exercise 1: EDF monomachine
+Implement an EDF scheduler monomachine. 
+The file name will be called `edfMono.py` and the class `EdfMono`.
+
+**Hints:** remember that we use Batsim `walltime` field to store the deadline. 
+In pybatsim, this information is stored in `job.requested_time`.
+
+Test your scheduler by running it on different workload inputs. 
+**Do not hesitate to create your own inputs to see how it behaves in different situations!**
+
+Upload your file `edfMono.py` on Moodle.
+
+### Exercise 2: compare FCFS and EDF
+
+#### 2.1 Gantt chart
+Produce the Gatt-chart visualization of the simulation with the workload of session1-exercise1, for both FCFS and EDF schedulers.
+Save the image as a PDF file (we remind that we can use the option `-o` of the visualization script, for example:
+`python util/plot.py out/edf_jobs.csv --noDisplay -o out/edf_ex1.pdf`).
+
+Upload the 2 PDFs on Moodle.
+
+#### 2.2 Scheduling metrics
+Batsim output `schedule.csv` ([see documentation](https://batsim.readthedocs.io/en/latest/output-schedule.html)) provides us with some scheduling metrics. 
+For example, we can read the mean and max **waiting time**, which is the time that elapsed between the submission of the job and the beginning of its execution.
+
+Unfortunately, Batsim do not compute the **lateness** for us. 
+We will have to calculate this information form the `jobs.csv`.
+
+Create a script that computes the mean and max lateness from a `jobs.csv` given as input. 
+You can use any programming language that you like, for example python with the library [pandas](https://pandas.pydata.org/docs/index.html).
+Ask for help from your lab's teacher if you don't know where to start.
+
+Fill in the file [expe/metrics.txt](./expe/metrics.txt) for your two schedulers, and upload it on Moodle.
+Do you find the same results as when you did it in class?
+Which algorithm is better in terms of waiting time on this input?
+In terms of lateness? 
 
 
 
diff --git a/expe/metrics.txt b/expe/metrics.txt
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+## Workload ex1, schedulers monos
+
+FCFS:
+- max w_time:
+- mean w_time:
+- max lateness:
+- mean lateness:
+
+EDF:
+- max w_time:
+- mean w_time:
+- max lateness:
+- mean lateness:
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