An Improved Caching Mechanism for Content-centric Network
Qu Hu · Jisuanji gongcheng · 2015
Content-centric Network(CCN)based on named data which is one of the vital elements in network,as a main architecture for the future Internet,attracts considerable attention from the research community recent years. A new caching scheme called Pop Betw based on content popularity and node's betweenness is proposed to solve the problem of heavy replacement of content copies brought by existing cache policies in CCN:combining content popularity which is one of content attributes with node's betweenness avoids caching unpopular contents,reduces caching load in each node and improves in-network caching performance. Simulation experiment demonstrates that the proposed Pop Betw caching strategy achieves larger cache hit rate and lower path stretch than that of LCE scheme,LCPro and Ego Betw scheme by evaluating the impact of cache size and content popularity on the caching performance,it also shows that Pop Betw apparently lower the number of in-network cache replacement especially in nodes with relatively large value of betweenness to achieve better overall performance.