Design and Simulation of Fault-Tolerant Network Switching System Using Python-Based Algorithms

TL;DR

This paper introduces a Python-based fault-tolerant network switching system that enhances network resilience through dynamic rerouting and failover mechanisms, demonstrated via simulation on an enterprise LAN model.

Contribution

It presents a novel Python implementation for fault-tolerance in network switching, including simulation of fault scenarios and automatic recovery strategies.

Findings

Improved packet delivery and reduced packet loss during faults

Faster recovery times compared to non-fault-tolerant systems

Scalable approach suitable for enterprise networks

Abstract

Ensuring uninterrupted data flow in modern networks requires robust fault-tolerant mechanisms, especially in environments where reliability and responsiveness are critical. This paper presents the design and simulation of a fault-tolerant network switching system using Python-based algorithms. A simulated enterprise-level Local Area Network (LAN) was modeled using NetworkX to represent switch-router interconnectivity with redundant links. Fault scenarios, including link failure and congestion, were injected using Scapy, while automatic failover and rerouting were implemented via custom Python logic. The system demonstrates resilience by dynamically detecting path failures, redistributing network traffic through redundant links, and minimizing downtime. Performance evaluations reveal significant improvements in packet delivery continuity, faster recovery times, and reduced packet loss compared to non-fault-tolerant baselines. The implementation provides a scalable and lightweight approach to integrating fault-tolerance features into mid-scale networks, with potential application in enterprise information technology infrastructures and academic simulations.