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A Proxy Caching Server acts as an intermediary between clients and the main server, storing frequently accessed content locally to reduce latency, bandwidth usage, and server load. It improves performance by serving cached data for repeated requests, enabling faster response times and efficient resource utilization in networked environments.

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Educational Proxy Caching Server

Description

The Educational Proxy Caching Server is a lightweight project designed to teach the concepts of caching and proxy servers. It demonstrates how to optimize bandwidth usage, improve resource delivery speed, and reduce redundant requests by implementing a simple yet effective caching mechanism.

This project is ideal for students, educators, and anyone interested in understanding the fundamentals of proxy caching servers in a practical and hands-on manner.


Features

  • Simple Implementation: Easy-to-understand codebase for learning purposes.
  • Basic Caching: Stores frequently accessed resources locally for faster retrieval.
  • Configurable Options: Customize cache size, expiration policies, and more.
  • Logging: Tracks cache hits, misses, and overall server activity.
  • Lightweight and Modular: Built for simplicity and adaptability in an educational setting.

Learning Objectives

By working on this project, learners will:

  • Understand the principles of caching and how it reduces bandwidth usage.
  • Learn how proxy servers work and their role in optimizing network requests.
  • Implement basic caching policies, including expiration and invalidation.
  • Gain experience with server-side programming and proxy configurations.

Prerequisites

To get started, you’ll need:

  1. A basic understanding of JavaScript and Node.js.
  2. An interest in networking concepts like caching and proxies.
  3. (Optional) Redis or a similar caching tool to explore advanced caching mechanisms.

About

A Proxy Caching Server acts as an intermediary between clients and the main server, storing frequently accessed content locally to reduce latency, bandwidth usage, and server load. It improves performance by serving cached data for repeated requests, enabling faster response times and efficient resource utilization in networked environments.

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