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System Capacity Planning

This implementation of simulation is based on SIMPY which is an open-source package of Python.

SIMPY is very handy for queue problem and easy to use.

https://simpy.readthedocs.io/en/latest/

If you are a student of COMP9334 of UNSW and seeking for a tool for the simulation of final project, this is the one. You may refer to the spec.pdf first to check what my project is about.

A simple tutorial code in given in simpy_tutorial.py, please check it out with manual of SIMPY. It should be easy to get your hand on if you has experience with Python. All figures are generated by matplotlib.pyplot of Python and if you are new with it, check the tutorial of it online. An alternative way is to use Seaborn(https://seaborn.pydata.org/).

Result of simulation

Comparison of different strategies

Visualization of queue

Remember to verify the time distribution of arrival jobs and service before you start the experience

Arrival Time:

Service Time:

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A Python implementation of System Capacity Planning project from COMP9334 of UNSW

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