Content Serving Optimization using Edge Servers

This project focuses on implementing edge caching optimization to enhance content delivery. By leveraging edge servers and caching mechanisms, it aims to address challenges such as high latency, server overload, and inefficient bandwidth usage. The solution utilizes NGINX for caching, Docker for containerization, and JMeter for performance evaluation, showcasing the potential of edge caching to improve scalability, reliability, and user satisfaction in modern content delivery networks.

Features

• Edge Caching with NGINX: Efficient caching at the edge servers to reduce latency and improve performance.
• Containerized Deployment: Docker-based architecture for easy scalability and portability.
• Performance Evaluation with JMeter: Comprehensive testing and analysis of cache hit rates, server load, and latency.

Run Locally

Clone the project

  git clone https://github.com/IIITV-5G-and-Edge-Computing-Activity/Content-Serving-Optimization-using-Edge-Caching.git

Go to the project directory and install dependencies

  npm install

Start the server

  nodemon index.js

To run the docker orchastrastion of all the containers (make sure the port 8080 is free, or change it in the compose file)

docker compose up

Environment Variables

To run this project, you will need to add the following environment variables to your .env file

PORT

CACHE_EXPIRY

FILE_DIRECTORY

Running Tests

To run tests, install the Apache JMeter from here and open the CDN Simulation.jmx file in the project repository. Make sure to configure the server ip accordingly to where you run the server.

Video

Video Link

Authors

• Soumil Singh - 202151161
• Shubham Gujarathi - 202151153
• Het Pandya - 202151065
• Kashyap Bhadja - 202151074
• Atharv Telkar - 202151034
• Dipak Tigga - 202151051