Content Centric Networking (CCN) has recently emerged as a promising architecture to deliver content at largescale. It is based on named-data where a packet address names content and not its location. Then, the premise is to cache content on the network nodes along the delivery path. An important feature for CCN is therefore to manage the cache of the nodes. In this paper, we present Most-Popular Content (MPC), a new caching strategy adapted to CCN networks. By caching only popular content, we show through extensive simulation experiments that MPC is able to cache less content while, at the same time, it still achieves a higher Cache Hit and outperforms existing default caching strategy in CCN.

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Content Centric Networking (CCN) is a new architecture for a future Internet. CCN relies on in-network caching capabilities of nodes and the efficiency of this architecture depends drastically on performances of caching strategies. Thus, there have been a lot of studies proposing new caching strategies to improve the performances of CCN. However, among all these strategies, it is still unclear which one performs better as there is a lack of common environment to compare these strategies.In this paper, we compare the performances of CCN caching strategies within the same simulation environment. We build a common evaluation scenario and we compare via simulation five relevant caching strategies: Leave Copy Everywhere (LCE), Leave Copy Down (LCD), ProbCache, Cache "Less" For More and MAGIC. We analyze the performances of all the strategies in terms of Cache Hit, Stretch, Diversity and Complexity, and determine the cache strategy that fits the best with every scenario.

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