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Network Topology Analysis Dashboard

An interactive web-based dashboard designed to visualize, analyze, and simulate failures in common data center network topologies. This project allows users to explore the characteristics of Leaf-Spine, Fat-Tree, and Three-Tier architectures.

🚀 Features

  • Interactive Visualization: Real-time graph rendering using Cytoscape.js.
  • Architecture Modeling:
    • Leaf-Spine: Fully connected spine and leaf layers.
    • Fat-Tree: k-port fat-tree implementation.
    • Three-Tier: Classic Core-Aggregation-Access hierarchy.
  • Metric Analysis:
    • Average Host Path Length & Latency.
    • Network Diameter.
    • Max Betweenness Centrality.
    • Connected Component Ratios.
  • Failure Simulation: Targeted "core failure" simulations to evaluate network resilience and host connectivity.

🛠️ Tech Stack

⚙️ Installation & Setup

1. Backend Setup

Navigate to the root directory and set up the Python environment:

# Create and activate a virtual environment
python3 -m venv venv
source venv/bin/activate

# Install dependencies
pip install -r requirements.txt

# Run the Flask server
cd backend
python app.py

The backend will start at http://127.0.0.1:5000.

2. Frontend Setup

In a new terminal, navigate to the frontend directory:

cd frontend

# Install dependencies
npm install

# Start the development server
npm run dev

The frontend will typically run at http://localhost:5173.

📂 Project Structure

graph_theory/
├── backend/
│   ├── app.py           # Flask API endpoints
│   ├── models.py        # Topology generation logic
│   └── metrics.py       # Graph analysis algorithms
├── frontend/
│   ├── src/
│   │   ├── main.js      # Frontend logic & Cytoscape init
│   │   └── style.css    # Layout & styling
│   └── index.html       # Main entry point
├── requirements.txt     # Python dependencies
└── README.md            # You are here

📊 Available Metrics

  • Avg Host Path: Average shortest path distance between host nodes.
  • Avg Host Latency: Average weighted path length based on simulated edge latencies.
  • Diameter: The longest shortest path in the network.
  • Max Betweenness: Identifies the most critical bottleneck nodes.
  • Host Connectivity: The percentage of hosts remaining connected after node failures.

🤝 Contributing

Feel free to fork this repository and submit pull requests for new topologies or advanced metric analysis!