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基于区域用户需求感知的边缘缓存策略研究
引用本文:王俊岭,胡敏,黄宏程. 基于区域用户需求感知的边缘缓存策略研究[J]. 计算机应用研究, 2021, 38(2): 544-548. DOI: 10.19734/j.issn.1001-3695.2020.01.0019
作者姓名:王俊岭  胡敏  黄宏程
作者单位:重庆邮电大学 通信与信息工程学院,重庆400065;重庆邮电大学 通信与信息工程学院,重庆400065;重庆邮电大学 通信与信息工程学院,重庆400065
基金项目:国家重点研发计划资助项目
摘    要:针对当前的边缘缓存策略存在的传输能耗高、对较小区域中用户需求感知不足的问题,结合全网与区域在流行内容和流行特征的差异,提出基于区域用户需求感知的边缘缓存策略。首先,依据区域用户的长/短期兴趣和全网流行度信息,估算用户的请求意愿;然后,综合区域用户的需求选择待缓存内容及缓存优先级;最后,考虑基站的位置和用户需求的差异,设计区域缓存能耗优化的联合放置策略。仿真结果表明,所提策略与传统的缓存策略相比在请求命中率、字节命中率和缓存能耗上均有一定提升。

关 键 词:边缘缓存  长/短期兴趣  MEC协作  缓存能耗  缓存放置
收稿时间:2020-01-07
修稿时间:2021-01-13

Research on edge cache strategy based on regional user demand perception
Wang Junling,Hu Min and Huang Hongcheng. Research on edge cache strategy based on regional user demand perception[J]. Application Research of Computers, 2021, 38(2): 544-548. DOI: 10.19734/j.issn.1001-3695.2020.01.0019
Authors:Wang Junling  Hu Min  Huang Hongcheng
Affiliation:(School of Communication&Information Engineering,Chongqing University of Posts&Telecommunications,Chongqing 400065,China)
Abstract:Aiming at the problems of current edge joint cache strategy with high transmission energy consumption and insufficient perception of user needs in smaller areas,this paper proposed an edge cache strategy based on regional user demand perception which combined with the differences on popular content and popular features across the entire network and regions.First,it estimated the potential request probability of a regional user based on the long-term and short-term interests of the regional user and the existing network popularity information.Then,it selected the cache content and the cache priority based on the demand of the regional user.Finally,considering the imbalance between the location of the base stations in the area and the distribution of user requests,this paper proposed a joint placement strategy with the least energy consumption in the area cache.Simulation results show that compared with the traditional cache strategy,the proposed strategy has certain improvements in the request hit rate,byte hit rate and cache energy consumption.
Keywords:edge cache  long-term and short-term interests  MEC collaboration  cache energy consumption  cache placement
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