It is a simulator which implements a closed loop system of Users and Web Server. The simulator is implemented in python and follows a modular design.

The directory can be divided into 3 parts:

• classes.py file contains class definitions for all internal modules of the system.

• simulator.py file contains simulator class definition, which uses modules from classes.py to instantiate a simulator.

• lcgrand.py file defines the pseudo random number generator used by the simulator.

• data_generator.py file runs the simulator for different configurations and generates csv files of the metrics.

• graph_gen_notebook.ipynb file is a jupyter notebook which can be used to generate graphs.

• results directory contains the csv files generated by the simulator.
  • It contains results for 2 different configurations of the system.
• graphs directory contains the graphs generated by the graph_gen.ipynb file.

NOTE: For the MVA model analysis, the data was generated using this google sheet and the graphs were generated using the graph_gen_notebook.ipynb file.

Requirements:

• python3

data_generator.py defines variable for the simulation metrics. Change this metrics as per requirement and then save the file.

Execute python3 data_generator.py to generate the data.

Requirements:

• python3
• matplotlib (pip3 install matplotlib)
• Generated csv data files.

Run everything in graph_gen.ipynb. Graphs will be generated.