Hey everyone! 👋 As a final-year CS student specializing in data science, my team and I are looking to build a project. We're a bit light on computer network knowledge (think CCNA level), so we'd love some guidance! If you have expertise in this area, could you tell us if this project idea is feasible, what we should research, and the basic implementation needs?
Our project focuses on building an AI-powered predictive Content Delivery Network (CDN) that improves video streaming efficiency using intelligent networking and machine learning.
We will work on three main components:
AI Forecasting and Processing:
We will develop machine learning models to analyze network traffic data and predict congestion before it happens. This includes using time-series models to forecast bandwidth drops. Additionally, we will integrate AI-based video processing techniques such as super-resolution (using pre-trained models) to restore video quality after compression.
Network Architecture:
We will design and simulate a peer-to-peer (P2P) network where multiple nodes cooperate to deliver video content. The system will dynamically route data through the fastest available paths based on network conditions. We will also compare and optimize transmission protocols (such as TCP vs UDP) to reduce latency and improve performance. Network simulation tools like Mininet or NS3 will be used to test different scenarios.
Platform and User Interface:
We will build a simple video player that streams content through our system. This includes handling user requests, adaptive video quality, and playback. We will also develop a dashboard to monitor key metrics such as bandwidth usage, latency, and system performance, allowing us to demonstrate the effectiveness of our solution.
Overall, the system aims to reduce bandwidth consumption, improve streaming quality under poor network conditions, and provide a scalable solution for modern media delivery
