Dummy Simulator#

network_gym_env.DummySim#

class network_gym_env.DummySim(env_identity, config_json, client_identity, msg_json)[source]#

A dummy simulator that generate random measurement samples. When the simulation terminates, resume to the env_config.

The simulator will create a new env_sim socket using the env_idenntity and connects to the env_port. The simulator is configured using the config_json file. The first measurement will be send to the client_identity.

Initilize dummy simulator.

Parameters:

  • env_identity (str) – the identity of the environement socket

  • config_json (json) – env configuration

  • client_identity (str) – the identity of the client socket who started the env

  • msg_json (json) – msg from the cliet.

Methods#

network_gym_env.DummySim.generate_dummy_measurement(self, name, tags, num_users)#

Generate random measurement.

Parameters:

  • name (str) – the name of measurement

  • tags (dict) – the tags added to the measurement, e.g., timestamps

  • num_users (int) – the number of users

Returns:

json – the measurement results

network_gym_env.DummySim.start_simulation(self, env_identity, config_json, client_identity)#

Start simulation. Connect to the server using SouthBound API. Report network stats measurment and receive action.

Parameters:

  • env_identity (str) – the identity of the environement socket

  • config_json (json) – env configuration

  • client_identity (str) – the identity of the client socket who started the env

network_gym_env.DummySim.run_one_interval(self)#

Running the simulator for one interval.

Returns:

json – the measurement list