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基于内容流行度和节点中心度匹配的信息中心网络缓存策略

芮兰兰 彭昊 黄豪球 邱雪松 史瑞昌

芮兰兰, 彭昊, 黄豪球, 邱雪松, 史瑞昌. 基于内容流行度和节点中心度匹配的信息中心网络缓存策略[J]. 电子与信息学报, 2016, 38(2): 325-331. doi: 10.11999/JEIT150626
引用本文: 芮兰兰, 彭昊, 黄豪球, 邱雪松, 史瑞昌. 基于内容流行度和节点中心度匹配的信息中心网络缓存策略[J]. 电子与信息学报, 2016, 38(2): 325-331. doi: 10.11999/JEIT150626
RUI Lanlan, PENG Hao, HUANG Haoqiu, QIU Xuesong, SHI Ruichang. Popularity and Centrality Based Selective Caching Scheme for Information-centric Networks[J]. Journal of Electronics & Information Technology, 2016, 38(2): 325-331. doi: 10.11999/JEIT150626
Citation: RUI Lanlan, PENG Hao, HUANG Haoqiu, QIU Xuesong, SHI Ruichang. Popularity and Centrality Based Selective Caching Scheme for Information-centric Networks[J]. Journal of Electronics & Information Technology, 2016, 38(2): 325-331. doi: 10.11999/JEIT150626

基于内容流行度和节点中心度匹配的信息中心网络缓存策略

doi: 10.11999/JEIT150626
基金项目: 

国家自然科学基金(61302078, 61372108),国家863计划(2011AA01A102),国家科技重大专项(2011ZX03005-004-02),北京高等学校青年英才计划项目(YETP0476)

Popularity and Centrality Based Selective Caching Scheme for Information-centric Networks

Funds: 

The National Natural Science Foundation of China (61302078, 61372108), The National 863 Program of China (2011AA01A102), The National ST Major Project (2011ZX 03005-004-02), Beijing Higher Education Young Elite Teacher Project (YETP0476)

  • 摘要: 在信息中心网络(Information-Centric Network, ICN)中,利用网络内置缓存提高内容获取及传输效率是该网络构架最重要的特性。然而,网络内置的缓存存在应对大量的需要转发的内容时能力相对弱小,对内容放置缺乏均衡分布的问题。该文提出基于内容流行度和节点中心度匹配的缓存策略(Popularity and Centrality Based Caching Scheme, PCBCS),通过对经过的内容进行选择性缓存来提高内容分发沿路节点的缓存空间使用效率,减少缓存冗余。仿真结果表明,该文提出的算法和全局沿路缓存决策方案,LCD(Leave Copy Down)以及参数为0.7及0.3的Prob(copy with Probability)相比较,在服务器命中率上平均减少30%,在命中缓存内容所需的跳数上平均减少20%,最重要的是,和全局沿路缓存决策方案相比总体缓存替换数量平均减少了40%。
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    葛国栋, 郭云飞, 刘彩霞. 内容中心网络中面向隐私保护的协作缓存策略[J]. 电子与信息学报, 2015, 37(5): 1220-1226. doi. 10.11999/JEIT140874.
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出版历程
  • 收稿日期:  2015-05-27
  • 修回日期:  2015-11-09
  • 刊出日期:  2016-02-19

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