This scenario simulates an FCFS (first come, first serve) scheduling algorithm applied on 500 jobs—including all job types—with alternating compute and I/O phases running on a crossbar topology with 128 compute nodes. While evolving and adaptive jobs request a new configuration at the beginning of each iteration of the specified phase, malleable jobs accept any reconfiguration. The scheduler accepts all evolving requests that shrink the job but accepts evolving requests to expand the job only to a maximum of available nodes. For malleable jobs, the scheduler expands to the highest possible number of nodes based on the number of available nodes. The following steps will create a Docker container including all the required libraries for ElastiSim and start the simulation.
To build the container required to run ElastiSim, install Docker and execute the following command:
docker build -t elastisim .To run the simulation, execute the following commands in two different sessions:
docker run -v $PWD/data:/data -v $PWD/algorithm:/algorithm -u `id -u $USER` --name elastisim -it --rm elastisim /data/input/configuration.json --log=root.thresh:warning
docker exec -u `id -u $USER` -it elastisim python3 /algorithm/algorithm.pydocker run -v $PWD/data:/data -v $PWD/algorithm:/algorithm --name elastisim -it --rm elastisim /data/input/configuration.json --log=root.thresh:warning
docker exec -it elastisim python3 /algorithm/algorithm.pydocker run -v ${PWD}\data:/data -v ${PWD}\algorithm:/algorithm --name elastisim -it --rm elastisim /data/input/configuration.json --log=root.thresh:warning
docker exec -it elastisim python3 /algorithm/algorithm.pyThe first command runs the ElastiSim simulator process and accepts two inputs:
- the configuration file (JSON)
- the logging level
For a more detailed output, change --log=root.thresh:warning to --log=root.thresh:info (caution: verbose).
The second command runs the scheduling algorithm.