基于Nginx负载均衡的大规模脑电信号处理集群架构设计与实现  

Design and implementation of high-performance EEG signal processing cluster architecture based on Nginx load balancing

作　　者：刘玉婷 吴彤 任祥辉 LIU Yuting;WU Tong;REN Xianghui(The 15th Research Institute of China Electronics Technology Group Corporation,Beijing 100083,China)

机构地区：[1]中国电子科技集团公司第十五研究所,北京100083

出　　处：《信息通信技术与政策》2025年第3期16-24,共9页Information and Communications Technology and Policy

摘　　要：随着脑电信号处理技术在医疗、神经科学及人机交互领域的广泛应用,传统单机架构在高并发场景下存在计算资源受限、延迟高、稳定性差等问题。设计了一种基于Nginx负载均衡的脑电信号处理集群架构,通过反向代理技术将并发请求分配至分布式节点,结合标准化数据处理流程及统一集群入口,显著提升系统实时性、资源利用率与吞吐量。实验表明,在并发量为100~2000个的情况下,集群架构的平均响应时间与最小响应时间均有了显著优化,同时吞吐量也得到了大幅提升,且Nginx的IP访问控制策略有效拦截非法请求,保障数据安全。该架构通过动态负载均衡实现资源高效调度,为大规模神经数据处理提供技术支撑。未来可融合人工智能与边缘计算技术,拓展至复杂脑电分析场景,助力精准医疗与智能交互发展。With the widespread application of Electroencephalogram(EEG)signal processing technology in medical,neuroscience,and human-computer interaction fields,traditional single-machine architectures face challenges such as limited computational resources,high latency,and poor stability in high-concurrency scenarios.This paper proposes a high-performance EEG signal processing cluster architecture based on Nginx load balancing.By leveraging Nginx's reverse proxy technology,concurrent requests are distributed to distributed nodes,combined with standardized data processing workflows and a unified cluster entry point,significantly improving real-time performance of system,resource utilization,and throughput.Experimental results demonstrate that under 100~2000 concurrent loads,the cluster architecture achieves notable optimizations in both average and minimum response time,along with a substantial increase in throughput.Additionally,Nginx's IP access control strategy effectively blocks unauthorized requests,ensuring data security.The architecture enables efficient resource scheduling through dynamic load balancing,providing robust technical support for large-scale neural data processing.Future work will integrate artificial intelligence and edge computing technologies to extend the architecture to complex EEG analysis scenarios,advancing precision medicine and intelligent interaction development.

关 键 词：NGINX 负载均衡 集群 脑电信号处理 安全访问 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]