Strategies and Practices for Load Test Optimization in Distributed Systems

Abstract

Distributed system load testing is the key to evaluating the performance of a system under high concurrency and extreme loads. With the continuous expansion of system scale, issues such as network latency, bandwidth limitations, difficulty in predicting system capacity, and thread contention and deadlocks have gradually become obstacles to system stability and performance. To address these issues, this article proposes a series of improvement measures, including optimizing network topology and reducing cross node communication latency. Layered testing and progressive load increase help accurately identify system bottlenecks. Using asynchronous processing and refining lock granularity to reduce thread contention and deadlocks. Through these optimization measures, the concurrent processing capability of distributed systems can be enhanced, their scalability and stability can be improved, ensuring smooth operation of the system under high loads.