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#Stochastic Simulation

Assignment 2 - Discrete Event Simulation and Queueing Theory

Authors

Universiteit van Amsterdam

  • Valentina Bazyleva (13583611)
  • Chaitanya Kumar (13821369)

Requirements

Tested with the following, will most likely work well with other versions.

  • numpy 1.19.4
  • scipy 1.7.2
  • matplotlib 3.5.0
  • seaborn 0.11.2
  • pandas 1.2.3
  • simpy 4.0.1

Files

Python Scripts

Not meant to be executed as main - imported in the notebooks.

  • assignment_analytical.py: functions for analytical values of performance measures; used for visualization of theoretical results and verification of discrete event simulations.
  • assignment_util.py: utility functions, PRNG functions etc
  • assignment_queue.py: discrete event simulation objects; this is where all the simpy code is

Notebooks

  • analytical.ipynb: plots of theoretical waiting times
  • statistical.ipynb: discrete event simulations, statistical tests, and plots