BSc IT Project Guide : Network Performance Monitoring to Visualize Real-Time Network Metrics
1. Introduction
This project involves the development of a Network Performance Monitoring system that visualizes real-time network metrics such as bandwidth usage, packet loss, latency, jitter, and uptime. It helps IT administrators monitor and troubleshoot network issues more effectively.
2. Objective
The primary objective of this project is to design and develop a web-based dashboard that visualizes network performance metrics in real-time. This will assist in identifying network bottlenecks and improving overall network efficiency.
3. System Requirements
Hardware Requirements:
· - Processor: Intel i5 or higher
· - RAM: 8 GB or more
· - Storage: 100 GB HDD/SSD
Software Requirements:
· - Operating System: Windows/Linux/MacOS
· - Backend: Python/Node.js
· - Frontend: React.js/HTML/CSS
· - Database: MongoDB/MySQL
· - Network Tools: SNMP, Ping, Traceroute
4. Modules
· - User Authentication and Roles
· - Real-Time Metrics Collection (SNMP, ICMP)
· - Data Storage and Aggregation
· - Interactive Dashboard and Charts
· - Alerts and Notifications System
5. Tools and Technologies Used
· - Programming Languages: Python, JavaScript
· - Libraries: psutil, matplotlib, socket, React Chart.js
· - Frameworks: Django/Flask, React.js
· - Database: MongoDB/MySQL
· - APIs: SNMP, ICMP (Ping)
6. System Design
The system will have a modular architecture, collecting data from network nodes and storing it in a database. The frontend dashboard will fetch and display this data using real-time visualization techniques.
7. Future Enhancements
· - Add AI-based anomaly detection
· - Mobile app integration
· - Integration with third-party monitoring tools
8. Conclusion
This project serves as an excellent example of integrating software development and network engineering to provide IT administrators with actionable insights from real-time data.