HTTP Request Processing with Zero-Copy Optimization(3621)

The author explored zero-copy techniques to optimize web server performance by minimizing memory allocations during HTTP request processing. Traditional web servers perform multiple data copies that create performance bottlenecks due to memory allocation and CPU usage. The author's framework implements zero-copy techniques to eliminate unnecessary data movement, accessing request data directly without intermediate copying. This approach significantly reduces memory allocations, leading to improved throughput and reduced garbage collection pressure. Benchmarking showed an 80% increase in requests per second with the zero-copy framework compared to traditional methods. The framework extends zero-copy principles to file operations using memory-mapped files and streaming. Network buffer optimization further enhances performance by enabling direct access to network buffers. Production testing demonstrated significant improvements in throughput, memory usage, and CPU usage with zero-copy optimizations. The author compared their approach with traditional Express.js and Spring Boot processing, highlighting the data copies involved. Ultimately, zero-copy techniques offer substantial performance gains by eliminating unnecessary data copying in web servers.