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A Comparison of Caching Strategies for Content Centric Networking

Identifieur interne : 000203 ( Main/Exploration ); précédent : 000202; suivant : 000204

A Comparison of Caching Strategies for Content Centric Networking

Auteurs : César Bernardini [France] ; Thomas Silverston [France] ; Olivier Festor [France]

Source :

RBID : Hal:hal-01251968

English descriptors

Abstract

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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Le document en format XML

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<div type="abstract" xml:lang="en">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.</div>
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