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1. 重庆大学信息物理社会可信服务计算教育部重点实验室,重庆 400030
2. 重庆大学通信工程学院,重庆 400030
Online First:2017-06,
Published:25 June 2017
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Yue-ping CAI, Jun LIU, Xin-wei FAN. Node centrality metric based caching mechanism in content-centric network[J]. Journal on Communications, 2017, 38(6): 10-18.
Yue-ping CAI, Jun LIU, Xin-wei FAN. Node centrality metric based caching mechanism in content-centric network[J]. Journal on Communications, 2017, 38(6): 10-18. DOI: 10.11959/j.issn.1000-436x.2017113.
为了降低内容中心网络的缓存内容冗余度和提高缓存内容命中率,提出一种基于节点中心性度量的缓存机制(CMC)。CMC利用控制器获取整个网络的拓扑结构和缓存空间空闲率,根据拓扑的连接关系分别计算各节点的度中心性、紧密中心性和介数中心性,并将这3个度量和缓存空间空闲率作为缓存节点选择的重要指标。仿真实验表明,与传统内容中心网络(CCN)缓存机制相比,CMC 可以有效地提高缓存内容命中率,降低获取内容的跳数和平均请求时延。
In order to reduce the cache redundancy as well as increase the cache hit ratios in content-centric networks
the node centrality metric based caching mechanism (CMC) was proposed.CMC utilized controllers to obtain the topology of the whole network and the idle rate of cache space.According to the connection relation of the topology
the degree centrality
closeness centrality and betweenness centrality of nodes were calculated.When CMC choose the caching nodes
it took the three metrics and the idle rate of cache space into account.Simulation results show that CMC can effectively increase the cache hit ratios and reduce the content fetching hops and average request delay compared with the traditional routing algorithms in CCN.
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