A centralized control caching strategy based on popularity and betweenness centrality in CCN.

Content-centric Networking is a novel networking architecture, which relies on in-network caching to achieve efficient content transmission. In this paper, we propose a centralized control caching strategy based on popularity and betweenness centrality (CORPORATE). The numerical values of popularity and betweenness centrality represent the user's preference for contents and the importance of nodes in the network, respectively. In CORPORATE, different from traditional caching strategies, we define a control node on the basis of the betweenness centrality to cache the content. Due to the tremendous amount of content in the internet and the limit of the caching node storage, the content cached at the control node is replaced frequently. Then the content is moved into the surrounding node based on popularity and betweenness centrality. Meanwhile, according to the hops of the control node to the caching node and the server, the control node can get the shortest path between the consumer and the content providers. We loop the above process gradually moving the content to the edge node, which can greatly improve the average link load and the average transmission delay. Besides the simulation results demonstrate that the CORPORATE can effectively improve cache hit ratio and the efficiency of CCN.