Network Delay Measurement Tool using SDN (Ryu + Mininet)

Problem Statement

This project measures and analyzes latency between hosts using Software Defined Networking (SDN). It uses Mininet for network emulation and Ryu as the SDN controller.

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Prerequisites

Before running this project, ensure the following are installed:

System Requirements

• Ubuntu 20.04 / 22.04 (recommended)
• Minimum 4GB RAM (for smooth Mininet execution)

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Required Software

1. Python

• Python 3.x installed

python3 --version

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2. Mininet

• Network emulator used to create virtual topology

sudo apt install mininet -y

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3. Ryu Controller

• SDN controller for managing switches

pip3 install ryu

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4. Open vSwitch

• Required for switch functionality

sudo apt install openvswitch-switch -y

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5. Matplotlib

• Used for plotting graphs

sudo apt install python3-matplotlib -y

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6. iperf

• Used for throughput measurement

sudo apt install iperf -y

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Notes

• Run Mininet scripts using sudo
• Ensure the Ryu controller is started before running the analysis script

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Setup Instructions

1. Start Ryu Controller

ryu-manager controller.py

2. Run Delay Analysis

sudo python3 delay_analysis.py

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Features

• ICMP ping-based delay measurement
• RTT extraction and analysis
• Comparison across different network topologies
• Throughput measurement using iperf
• Visualization using graphs

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Output

• RTT values (min, max, average)
• Delay variation
• Throughput results
• Graph comparing topologies

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Screenshots

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Explanation

The controller implements a learning switch using OpenFlow. When packets arrive, the controller learns MAC-to-port mappings and installs flow rules.

Delay is measured using ping, and RTT values are extracted and analyzed. Different topologies are used to compare delay across paths.

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