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Network Flux Simulation 📡

A Python application simulating packet flow management in a communication network, comparing different buffer strategies under realistic traffic conditions.

Overview

Packets are generated by sources following a Poisson process (a realistic model for network traffic) and pass through buffers before entering the network. This project implements and benchmarks multiple queue management strategies.

Buffer Strategies Compared

Strategy Description
FIFO First In, First Out — standard queue
Priority High-priority packets bypass the queue
Drop-Tail Drop incoming packets when buffer is full
Random Early Drop (RED) Probabilistic early dropping to avoid congestion

Features

  • OOP-based network model (Source, Packet, Buffer, Network)
  • Poisson arrival process simulation
  • Real-time graphical interface with customtkinter
  • Strategy performance comparison via matplotlib charts

Getting Started

pip install customtkinter matplotlib pyglet pillow
python main.py

Tech Stack

Tool Purpose
Python 3 Core language
CustomTkinter Modern GUI framework
Matplotlib Performance charts
Pyglet Multimedia support

Authors

Ahmad Hatoum · Francesco Di Gennaro

L2 Computer Science project — Université de Versailles Saint-Quentin-en-Yvelines

About

PROJET : Stratégies de gestion de flux à l’entrée d’un un réseau de communication

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