Performance Optimization Framework for High-Concurrency Web Applications

Abstract

High-concurrency web applications face significant challenges in response latency and resource management. Traditional optimization methods often focus on isolated components. This study proposes a comprehensive performance optimization framework that combines load balancing, cache management, and dynamic scaling strategies. System bottlenecks are identified through continuous monitoring and profiling. Experimental results confirm that the proposed framework effectively improves system throughput and stability.