基于边缘计算的Web缓存替换策略算法  

Web Cache Replacement Strategy Algorithm Based on edge computing

作　　者：陈自力[1] CHEN Zi-li(College of Information and Intelligent Transportation,Fujian Chuanzheng Communications College,Fuzhou 350007,Fujian,China)

机构地区：[1]福建船政交通职业学院信息与智慧交通学院,福建福州350007

出　　处：《贵阳学院学报（自然科学版）》2023年第2期18-23,共6页Journal of Guiyang University：Natural Sciences

基　　金：中国高校产学研创新基金项目“基于特征点识别的人脸微表情量化评价系统研究”(项目编号:2021BCE02005)。

摘　　要：Web是一种基于超文本和HTTP的全球性分布式图形信息系统,其内部的网页数据具有海量化、动态化、交互化的特点,在DNS缓存时容易发生网络路由跳来跳去、网络大数据包传输频繁、加载速度慢、用户流量高等问题。为减少网络传输,提高页面内容展示速度,节约带宽,提升用户体验感,引入边缘计算提出一种新的Web缓存替换策略算法,联合优化Web缓存效果。将5G基站与边缘计算融合,建立移动本地缓存模型,定义关联的边缘设备,去中心化Web缓存边缘节点,降低网络拥堵,减少流量和资源浪费。采用PageRank算法,整合边缘节点,建立DNS缓存,提高浏览器本地缓存映射效果,降低Web访问代价。通过增强边缘节点自治能力,提高Http协议头控制效果,优化Web效益属性。通过仿真测试证明所提算法能有效降低网络拥堵,提高缓存数据完整性,确保带宽指标结果,为给用户带来极佳的页面展示体验提供技术支持。Web is a global distributed graphic information system based on hypertext and HTTP,so its internal web page data has the characteristics of massive,dynamic and interactive.When DNS caching,it is prone to network route hopping,frequent transmission of network big data packets,slow loading speed,and high user traffic.In order to reduce network transmission,improve the speed of page content display,save bandwidth,and improve user experience,edge computing is introduced to propose a new Web cache replacement strategy algorithm to jointly optimize the Web cache effect.Integrate 5G base stations with edge computing,establish a mobile local cache model,define associated edge devices,decentralize web cache edge nodes,reduce network congestion,and reduce traffic and resource waste.PageRank algorithm is adopted to integrate edge nodes,establish DNS cache,improve the effect of browser local cache mapping,and reduce the cost of Web access.By enhancing the autonomy of edge nodes,improve the control effect of Http protocol header,and optimize the Web benefit attribute.Simulation tests show that the proposed algorithm can effectively reduce network congestion,improve cache data integrity,ensure bandwidth index results,and provide technical support for users to bring excellent page display experience.

关 键 词：边缘计算 边缘节点 WEB缓存 PAGERANK算法 DNS缓存 衰减系数 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]