高并发访问下的移动Web前端浏览性能优化研究  

Research on Optimization of Mobile Web Front-End Browsing Performance Under High Concurrent Access

作　　者：周沭玲 ZHOU Shuling(Institute of Artificial Intelligence,Hefei College of Finance&Economices,Hefei 230601,China)

机构地区：[1]合肥财经职业学院人工智能学院,合肥230601

出　　处：《重庆科技学院学报（自然科学版）》2023年第5期63-68,共6页Journal of Chongqing University of Science and Technology：Natural Sciences Edition

基　　金：安徽省高校自然科学重点研究项目“基于Vue的Web系统前端性能优化研究”(KJ2021A1593);高校优秀青年人才支持计划一般项目“Web系统前端性能优化策略研究与应用”(GXYQ2022294)。

摘　　要：为了提高浏览移动Web前端的流畅性,提出了一种高并发访问下的移动Web前端浏览性能优化方法。通过收集和计算移动Web链路的CPU负载特征值、内存负载特征值、磁盘负载特征值和业务流负载特征值,构建移动Web业务流训练样本集,判断移动Web前端的负载状态。根据移动Web负载的过载序列和轻载序列,获取负载均衡分配节点的状态,结合移动Web负载均衡分配的时间延迟状态和带宽状态,利用带宽等级优化均衡分配移动Web负载。利用通信子站的连接关系计算数据传输路径的可利用率,通过计算用户权限验证时延得出用户浏览移动Web前端的适应度函数,从而优化移动Web前端浏览性能。通过实验验证了该方法的良好优化效果。In order to improve the fluency of mobile Web front end browsing,an optimization method for mobile Web front-end browsing performance under high concurrent access is proposed.By calculating the characteristic values of the mobile Web link in terms of CPU load,memory load,disk load and traffic flow load,a mobile Web traffic flow training sample set is constructed to judge the load status of the mobile Web front-end.According to the overload sequence and light load sequence of the mobile Web load,the status of the load balancing distribution node is obtained.Combined with the time delay status and bandwidth status of the mobile Web load balancing distribution,the mobile Web load is balanced and distributed by using bandwidth level optimization.The availability of data transmission path is calculated by using the connection relationship of communication sub-stations,the fitness function of mobile Web front-end browsing is obtained by calculating the user permission verification delay,and the browsing performance of mobile Web front-end is optimized by the security design of communication links.The good optimization effect of this method has been verified through experiments.

关 键 词：高并发 浏览性能 移动WEB 流畅性 负载状态 均衡分配 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]