SimulationAndMetrology

Final project for Simulation and Metrology course at IP Paris

Heterogeneous Queue Simulation

Overview

This project simulates a heterogeneous traffic queue using SimPy. It models different types of network traffic (data, voice, and video) competing for a shared 100 Mbps server with an infinite capacity queue.

Features

• Traffic Models:
  • Data Traffic: Poisson-distributed packet arrivals with variable sizes.
  • Voice Traffic: Constant bit rate (CBR) traffic.
  • Video Traffic: Bursty ON/OFF model.
• Performance Metrics:
  • Response Time: Time from packet arrival to completion.
  • Loss Rate: Proportion of packets dropped when the queue is full.
• Event-Driven Simulation: Efficiently handles packet arrivals, service, and queue dynamics.
• Visualization: Generates plots for response times and loss rates.

Installation

This project uses Python 3 and requires a virtual environment for dependency management.

1. Create a Virtual Environment

python3 -m venv venv
source venv/bin/activate  # Linux/Mac
venv\Scripts\activate  # Windows

2. Install Dependencies

pip install -r requirements.txt

Usage

To run the simulation: The script will generate performance metrics and plots of the simulation results.

Output

• The script plots:
  • Loss rate over time for each traffic type.
  • Response time over time for each traffic type.
• The simulation results can also be redirected to a file:

File Structure

/SimulationAndMetrology
│── simProject.ipynb         # Main simulation script
│── burstiness_results.csv # Simulation Results
│── requirements.txt      # Dependencies
│── README.md             # Project documentation
│── venv/                 # Virtual environment (excluded from GitHub)

Dependencies

• numpy
• pandas
• matplotlib
• simpy

Contributing

Feel free to fork this repository, submit issues, or suggest improvements.

License

This project is licensed under the MIT License.