内容中心网络中一种基于内容等级及流行度的缓存策略

发布时间：2018-03-11 03:33

本文选题：内容中心网络　切入点：缓存策略　出处：《电子与信息学报》2017年06期 　论文类型：期刊论文

【摘要】：网内缓存作为内容中心网络(CCN)的核心技术,越来越受到关注。为了提高网络的缓存性能以及用户对数据请求的满意度,该文提出一种基于内容等级及流行度的缓存策略(CLPC)。CLPC策略通过设置不同用户对内容的访问等级以及统计内容的访问频率,决定数据的缓存位置,并且设计了数据替换方法,在一定程度上保证了不同用户对不同数据的最优请求,同时提高了网络的性能。实验证明该策略与CEE+LRU,Prob(0.7)+LRU,Betw+LRU相比,能更好地提高缓存命中率、平均时延及源端命中率等网络缓存性能指标。
[Abstract]:As the core technology of content-centric network (CCNN), intra-network cache has attracted more and more attention. In order to improve the cache performance of the network and the satisfaction of users with data requests, In this paper, a cache policy based on content rank and popularity is proposed to determine the cache location of data by setting the access level of content and the frequency of statistical content access to different users, and the method of data replacement is designed. To a certain extent, the optimal request of different users for different data is guaranteed, and the network performance is improved. Experiments show that this strategy can improve cache hit ratio better than CEE Rup Prob0.7) LRUBET LRU. The average delay and hit rate of the source are the performance index of the network cache.
【作者单位】：重庆邮电大学光通信及网络重点实验室;
【基金】：国家自然科学基金(61571072,61371096) 重庆市基础与前沿研究计划项目(cstc2015jcyj A40015,cstc2013jcyj A40052) 重庆市教委科学技术研究项目(KJ130515)~~
【分类号】：TP393.02

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