https://github.com/vanshajb10/multithreaded_web_server

This project demonstrates Java's multithreading capabilities!. High-performance, Multithreaded web server capable of handling up to 1 million concurrent requests. Built with Java, the server utilizes efficient thread management and thread pooling to ensure optimal resource utilization and minimal latency.
https://github.com/vanshajb10/multithreaded_web_server

java-8 multithreading

Last synced: about 1 month ago
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This project demonstrates Java's multithreading capabilities!. High-performance, Multithreaded web server capable of handling up to 1 million concurrent requests. Built with Java, the server utilizes efficient thread management and thread pooling to ensure optimal resource utilization and minimal latency.

• Host: GitHub
• URL: https://github.com/vanshajb10/multithreaded_web_server
• Owner: VANSHAJB10
• Created: 2024-10-23T19:44:18.000Z (3 months ago)
• Default Branch: main
• Last Pushed: 2024-10-23T19:58:45.000Z (3 months ago)
• Last Synced: 2024-12-18T16:19:01.989Z (about 1 month ago)
• Topics: java-8, multithreading
• Language: Java
• Homepage:
• Size: 5.86 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# MultiThreaded Web Server using Java

This project demonstrates Java's multithreading capabilities!.




High-performance, Multithreaded web server capable of handling up to 1 million concurrent requests.


Built with Java, the server utilizes efficient thread management and thread pooling to ensure optimal resource utilization and minimal latency.




 What is a Server? 
 




A Server serves static/dynamic content to users.




If too many (example 10k) clients hit the server --> multiprocessing server will open 10k threads. 1 thread for each request

Thread block of 10 k threads will consume too much memory and Resources of the system that it may crash.


Making it impossible to serve 10k RPS. 

To solve this probem - a Thread Pool can be used.

It is a pool of Threads, ready to serve incoming requests.

Thread which is done with execution is reused again so no need to create more (> 100) threads.

Tasks wait in Queue till a thread is available to take up a task.