基于节点中心性度量的内容中心网络缓存机制

Node centrality metric based caching mechanism in content-centric network

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 effec-tively increase the cache hit ratios and reduce the content fetching hops and average request delay compared with the tra-ditional routing algorithms in CCN.