A real-time simulation and optimization platform for network behavior analysis, congestion visualization, fault prediction, and performance enhancement.
- Traffic Simulation: Generate and analyze dynamic traffic patterns.
- Fault Prediction: Predict network issues using real-time monitoring and thresholds.
- Real-Time Visualization: Interactive network topology and performance dashboards.
- Traffic Optimization: Optimize routes to alleviate congestion and enhance throughput.
- Data Logging: Log traffic and performance metrics for historical analysis.
Clone the project
git clone https://github.com/anjalichaturvedi/network-digital-twin
cd network-digital-twin
Install dependencies
pip install networkx pandas streamlit
Run the application
streamlit run app.py
Programming Language: Python
Frameworks:
- Streamlit (User Interface)
- Plotly (Visualization)
Libraries: NetworkX, Pandas