内容中心网络中基于内容流行度和节点属性的协作缓存策略
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摘要
网络内置缓存是内容中心网络中的一项重要特性,而现有的缓存策略会使网络中的缓存分布不均,缓存的效率还有较大的提升空间。为了使被缓存的内容对象在空间和时间上分布更合理,提出了一种基于内容流行度和节点属性的协作缓存策略,通过内容的实时流行度和多项节点属性对缓存内容及缓存位置进行选择,能够降低网络冗余,减少内容替换,实现更均匀的内容分布。仿真结果表明,所提缓存策略与其他几种典型的缓存策略相比,可以有效地提高缓存命中率、降低网络负载和总体缓存替换数量。
Built-in network cache is an important feature in Content-Centric Networking(CCN).But existing caching strategies make the content distribution uneven,and there is a great room for the cache efficiency to improve.To make the cached contents more reasonable in temporal and spatial distribution,this paper proposes a collaborative caching strategy based on content popularity and node attributes(CPA).It can choose the cache content and cache location through the real-time popularity of content and multi-node attribute,reduce network redundancy and content replacement,and realize more uniform content distribution.The simulation results show that the proposed cache strategy can effectively improve cache hit rate and reduce network load and overall cache replacement quantity compared with other typical caching strategies.
Built-in network cache is an important feature in Content-Centric Networking(CCN).But existing caching strategies make the content distribution uneven,and there is a great room for the cache efficiency to improve.To make the cached contents more reasonable in temporal and spatial distribution,this paper proposes a collaborative caching strategy based on content popularity and node attributes(CPA).It can choose the cache content and cache location through the real-time popularity of content and multi-node attribute,reduce network redundancy and content replacement,and realize more uniform content distribution.The simulation results show that the proposed cache strategy can effectively improve cache hit rate and reduce network load and overall cache replacement quantity compared with other typical caching strategies.
引文
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[2]IOANNOU A,WEBER S.A survey of caching policies and forwarding mechanisms in information-centric networking[J].IEEE Communications Surveys&Tutorials,2016,18(4):2847-2886.
[3]曾宇晶,靳明双,罗洪斌.基于内容分块流行度分级的信息中心网络缓存策略[J].电子学报,2016,44(2):358-364.ZENG Y,JIN M,LUO H.LICA:A Segment-popularity based caching scheme in ICN[J].Acta Electronica Sinica,2016,44(2):358-364.
[4]黄胜,刘四军,滕明埝,等.内容中心网络中一种基于内容等级及流行度的缓存策略[J].电子与信息学报,2017(6):1417-1423.HUANG S,LIU S,TENG M,et al.Cache strategy based on content level and popularity in content centric networking[J].Journal of Electronics&Information Technology,2017(6):1417-1423.
[5]霍跃华,刘银龙.内容中心网络中传输开销最小的协作缓存策略[J].太原理工大学学报,2017,48(1):116-121.HUO Y H,LIU Y L.Collaborative caching strategy based on minimizing transmission cost in content-centric networking[J].Journal of Taiyuan University of Technology,2017,48(1):116-121.
[6]YAN H,GAO D,SU W,et al.Caching strategy based on hierarchical cluster for named data networking[J].IEEE Access,2017.
[7]KIM Y,KIM Y,BI J,et al.Differentiated forwarding and caching in named-data networking[J].Journal of Network and Computer Applications,2016,60:155-169.
[8]芮兰兰,彭昊,黄豪球,等.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.RUI L L,PENG H,HUANG H Q,et al.Popularity and centrality based selective caching scheme for information-centric networks[J].Journal of Electronics and Information Technology,2016,38(2):325-331.
[9]ZENG Y,HONG X.A caching strategy in mobile Ad Hoc named data network[C]∥Communications and Networking in China(CHINACOM),2011 6th International ICST Conference on.Harbin,2011:805-809.
[10]JACOBSON V,SMETTERS D K,THORNTON J D,et al.Networking named content[C]∥Proceedings of the 5th international conference on Emerging networking experiments and technologies.2009:1-12.
[11]JACOBSON V,SMETTERS D K,THORNTON J D,et al.Networking named content[J].Communications of the ACM,2012,55(1):117-124.
[12]李韬,李玉宏.一种基于内容热度的NDN缓存替换算法[J/OL].中国科技论文在线,2012.LI T,LI Y H.A content popularity based cache replacement algorithm for NDN[J/OL].Sciencepaper Online,2012.
[13]MASTORAKIS S,AFANASYEV A,MOISEENKO I,et al.ndnSIM 2.0:a new version of the NDN simulator for NS-3[R].NDN,Technical ReportNDN-0028,2015.
[14]ZHANG G,LI Y,LIN T.Caching in information centric networking:a survey[J].Computer Networks,2013,57(16):3128-3141.doi:10.1016/j.comnet.2013.07.007.
[15]ZHANG L,ESTRIN D,BURKE J,et al.Named data networking(NDN)project[R].Relatório Técnico NDN-0001,Xerox Palo Alto Research Center-PARC,2010.
[16]CHO K,LEE M,PARK K,et al.WAVE:popularity-based and collaborative in-network caching for content-oriented networks[C]∥Computer Communications Workshops(INFOCOM WKSHPS).USA:Orlando,2012:316-321.