Study and Optimization of Server Load Capacity in High Concurrency Scenarios

Abstract In high-concurrency scenarios, network and disk I/O-intensive operations often compete for shared resources, resulting in a decline in the server's load capacity. To address this challenge, this paper proposes a sophisticated high-concurrency server optimization solution. It utilizes various Reactor models in the Linux system, combined with the powerful Epoll mechanism and thread pool, to conduct research and optimization on the server's load capacity.Firstly, the event-driven and other modules required by the Web server are implemented and integrated. Secondly, the number of Reactors, the number of threads, and the business processing time under the Linux system are designed and controlled, and the design and implementation scheme of the high-concurrency server based on the Reactor model with the Epoll mechanism and thread pool are determined. Finally, the performance differences and the best usage scenarios of Web servers with different Reactor models in high-concurrency environments are analyzed through stress tests. The comparison results show that the QPS (Queries Per Second) indicator of the Web server based on the multi-Reactor multi-thread model is three times higher than that of the single-Reactor single-thread Web server, verifying its overall advantages in high-concurrency and long-term business processing. The research results demonstrate the applicable scenarios of different Reactor models, providing theoretical basis, implementation examples, and data support for choosing the appropriate Reactor model in actual server development, helping developers select the most suitable Reactor model according to specific server requirements to ensure higher efficiency in high-concurrency scenarios.