User Preference Aware Hierarchical Edge-User Cooperative Caching Strategy

作     者：Wu Dapeng Yang Lin Cui Yaping He Peng Wang Ruyan Wu Dapeng;Yang Lin;Cui Yaping;He Peng;Wang Ruyan

作者机构：School of Communications and Information EngineeringChongqing University of Posts and TelecommunicationsChongqing 400065China Advanced Network and Intelligent Connection Technology Key Laboratory of Chongqing Education Commission of ChinaChongqing 400065China Chongqing Key Laboratory of Ubiquitous Sensing and NetworkingChongqing 400065China 

出 版 物：《China Communications》 (中国通信（英文版）)

年 卷 期：2024年第21卷第6期

页      面：69-86页

核心收录：

学科分类：08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

基　　金：supported by Natural Science Foundation of China(Grant 61901070,61801065,62271096,61871062,U20A20157 and 62061007) in part by the Science and Technology Research Program of Chongqing Municipal Education Commission(Grant KJQN202000603 and KJQN201900611) in part by the Natural Science Foundation of Chongqing(Grant CSTB2022NSCQMSX0468,cstc2020jcyjzdxmX0024 and cstc2021jcyjmsxmX0892) in part by University Innovation Research Group of Chongqing(Grant CxQT20017) in part by Youth Innovation Group Support Program of ICE Discipline of CQUPT(SCIE-QN-2022-04) in part by the Chongqing Graduate Student Scientific Research Innovation Project(CYB22246) 

主　　题：cooperative caching network delay timevarying popularity user preference 

摘      要：The emergence of various new services has posed a huge challenge to the existing network *** improve the network delay and backhaul pressure,caching popular contents at the edge of network has been considered as a feasible ***,how to efficiently utilize the limited caching resources to cache diverse contents has been confirmed as a tough problem in the past *** this paper,considering the time-varying user requests and the heterogeneous content sizes,a user preference aware hierarchical cooperative caching strategy in edge-user caching architecture is *** divide the caching strategy into three phases,that is,the content placement,the content delivery and the content *** the content placement phase,a cooperative content placement algorithm for local content popularity is designed to cache contents *** the content delivery phase,a cooperative delivery algorithm is proposed to deliver the cached *** the content update phase,a content update algorithm is proposed according to the popularity of the ***,the proposed caching strategy is validated using the MovieLens dataset,and the results reveal that the proposed strategy improves the delay performance by at least 35.3%compared with the other three benchmark strategies.