Multithreading Load Testing Tool

This project consists of two main components:

1. A simple Java-based server that counts the frequency of words in the downloaded text files from Gutenberg project.
2. A load testing tool that sends GET requests to this server to retrieve the frequency of words listed in "search_words.csv".

The goal is to measure and compare the latency and throughput of the server under different loads by varying the number of threads in the load testing tool.

Table of Contents

1. Server Implementation
2. Load Testing Tool
3. Running the Tests
4. Output Format
5. Notes
6. Contributing
7. License

Server Implementation

• The server is implemented using Java's Networking API (no framework is used).
• It listens for HTTP GET requests and processes them to return the frequency of a specified word in resources/*.txt.

Load Testing Tool

• The tool reads words from resources/search_words.csv and generates HTTP GET requests for each word.
• It supports running multiple threads to simulate concurrent requests.
• The tool measures the latency (time taken for each request) and throughput (total requests completed in a time frame) for each run.

Running the Tests

• Start the server application.
• Run the load testing tool with a specified number of threads (from 1 to 16).
• The tool will display the average latency and throughput for each run in the terminal.

Output Format

Run PerformanceCheck.java to see the results which will be displayed in a formatted table in the terminal, showing latency and throughput against the number of threads, comparing performance as follows:

• Single threaded Server & Single threaded Load testing tool
• Single threaded Server & Multi threaded Load testing tool
• Multi threaded Server & Single threaded Load testing tool
• Multi threaded Server & Multi threaded Load testing tool

Notes

• Ensure that the server is running before starting the load testing tool.
• The server and load testing tool are designed for educational purposes to demonstrate the effects of multithreading on performance.

Contributing

Contributions are what make the open-source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch:

   git checkout -b feature/AmazingFeature

3. Commit your Changes:

   git commit -m 'Add some AmazingFeature'

4. Push to the Branch:

   git push origin feature/AmazingFeature

5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.