Java Web Server Project

This repository contains a Java-based implementation of different types of web servers. The project is organized into three folders, each demonstrating a specific web server model. The performance of these web servers can be measured using Apache JMeter.

Folder Structure

1. Single-Threaded Web Server

• A basic implementation of a web server that handles one request at a time.
• Suitable for understanding the fundamentals of web server operations.
• Use Case: Ideal for learning purposes or scenarios with minimal concurrent requests.

2. Multi-Threaded Web Server

• An advanced implementation where each request is handled in a separate thread.
• Improves concurrency by enabling multiple client requests to be processed simultaneously.
• Use Case: Suitable for moderate traffic scenarios.

3. Thread Pool Web Server

• Implements a thread pool to manage a fixed number of threads.
• Efficiently handles high traffic while maintaining control over resource usage.
• Use Case: Suitable for high-concurrency environments where resource management is critical.

Features

• Core Concepts Covered:

  • Networking with Java (using Socket and ServerSocket).
  • Multithreading.
  • Thread pool management.

• Performance Testing:

  • The web servers' performance can be measured using Apache JMeter.
  • Test scenarios can include:
    • Single-user request handling.
    • Simulating multiple concurrent users.
    • Stress testing under heavy load.

How to Run the Servers and Clients

1. Clone this repository:

   git clone https://github.com/kajalchoudhary1003/MultiThreadedWebServer
   cd MultiThreadedWebServer

2. Navigate to the desired server folder (SingleThreaded, MultiThreaded, or ThreadPool).

3. Compile and run the server and client on different terminals:

   javac Server.java
   java Server
   
   javac Client.java
   java Client

Performance Testing with JMeter

1. Install Apache JMeter: Download Here.

2. Create a test plan:

   • Add a thread group to simulate users.
   • Configure HTTP requests targeting your web server.

3. Analyze results:

   • Use JMeter's graphical tools to measure response times, throughput, and error rates.

4. Compare performance:

   • Test each web server implementation under similar load conditions.
   • Evaluate metrics such as latency, concurrency handling, and resource usage.

Happy coding! 🚀