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Simulation of Queuing Models with Simulus

Project description

Simulation of Queuing Models with Simulus

Jason Liu, July 2019.


This is a tutorial describing how to use simulus to model queuing systems. Simulus is an open-source discrete-event simulator in Python. The tutorial consists of several Jupyter notebooks, on which we develop and run simulation code. The tutorial also comes with a python module containing all example code.

How to Follow this Tutorial

You have three options:

  1. Launch a live notebook server with these notebooks using Binder, which provides an executable environment for running Jupyter notebooks. Access the binder at the following URL:

  2. Run the notebooks on your own machine. The notebooks are available in the github repository ( under the 'notebooks' directory. To run the notebooks, you need to first have the following packages installed:

    • jupyter: a web application for sharing interactive documents that contain text, code, and data visualization
    • numpy: a library for efficient representation of multi-dimensional arrays
    • scipy: a library for numerical computations, including linear algebra and statistics
    • matplotlib: a 2-D plotting library
    • simulus: the discrete-event simulator for which we developed this tutorial

    You can install all these packages including the examples of this tutorial using the pip command, such as the following:

    python -m pip install --user qmodels
  3. Read the documents online: However, you won't be able to run the code within the notebooks with this option.

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