Simulate flow-level, inter-node network coordination including scaling and placement of services and scheduling/balancing traffic between them.

Goal:

• Simulate any given network topology with node and link capacities using NetworkX
• Simulate network traffic in the form of flow arrivals at various ingress nodes with varying arrival rate, flow length, volume, etc
• Run algorithms for scaling, placement, and scheduling/load balancing of these incoming flows across the nodes in the network. Coordination within each node is out of scope (e.g., handled by Kubernetes).
• Discrete event simulation to evaluate coordination over time with SimPy
• Integration with OpenAI Gym to allow training and evaluating reinforcement learning algorithms

Requires Python 3.6. Install with (ideally using virtualenv):

pip install -r requirements.txt

Type coord-sim -h for help using the simulator. For now, this should print

$ coord-sim -h
usage: coord-sim [-h] -d DURATION -sf SF -n NETWORK -c CONFIG

Coordination-Simulation tool

optional arguments:
  -h, --help            show this help message and exit
  -d DURATION, --duration DURATION
                        The duration of the simulation (simulates
                        milliseconds).
  -sf SF, --sf SF       VNF file which contains the SFCs and their respective
                        SFs and their properties.
  -n NETWORK, --network NETWORK
                        The GraphML network file that specifies the nodes and
                        edges of the network.
  -c CONFIG, --config CONFIG
                        Path to the simulator config file
  -s SEED, --seed SEED  Random seed

You can use the following command as an example (run from the root project folder)

coord-sim -d 20 -n params/networks/triangle.graphml -sf params/services/abc.yaml -c params/config/sim_config.yaml

This will run a simulation on a provided GraphML network file and a YAML placement file for a duration of 20 timesteps.

# style check
flake8 src

# tests
nose2