用户个性化边缘数据缓存策略研究  

Research on User Personalized Edge Data Caching Strategy

作　　者：刘杰 陈虹云 LIU Jie;CHEN Hongyun(Nantong Institute of Technology,Nantong,Jiangsu 226001,China)

机构地区：[1]南通理工学院信息工程学院,江苏南通226001

出　　处：《移动信息》2025年第2期250-252,共3页Mobile Information

基　　金：教育部产学合作协同育人项目:基于产学合作的物联网应用开发师资培训(230701172182020)。

摘　　要：在移动边缘的场景中,常采用负载均衡的方法进行数据缓存,以减轻中心服务器的负载压力.但此种做法只考虑了服务器端,未能充分考虑网络边缘用户的需求.针对这一问题,文中提出了一种个性化的边缘数据缓存方法,首先基于内容流行度分析用户当前偏好,然后从用户对边缘缓存内容的历史评价数据中挖掘出用户的历史偏好,将两种偏好加权结合,把边缘缓存问题转化为线性规划问题求解,从而将用户个性化数据缓存到合适的基站.实验结果表明,该方法在准确度方面优于其它方法,是一种更优的边缘数据缓存策略.In the scenario of mobile edge,load balancing is often used to cache data to reduce the load pressure of the central server.However,this approach only considers the server side and ignores the user needs at the edge of the network.This paper proposes a user-personalized edge data caching strategy.First,the user̓s current preference is analyzed based on the popularity of the content.Then,the user̓s historical preference is mined from the user̓s historical evaluation data of the edge cache content.The two preferences are weighted and combined to transform the edge caching problem into a linear programming problem,so as to cache the user̓s personalized data to the appropriate base station.The experimental results show that the proposed method is superior to other methods in terms of accuracy,indicating that the proposed method is a better edge data caching strategy.

关 键 词：用户偏好 边缘缓存 负载均衡 线性规划 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]