Evaluation of Caching Strategies in Content-Centric Networking (CCN) for Mobile and Social Networking Environment
Keywords:CCN, Caching Strategies, Topologies, Tree, Diamond, Rank, Performance, Resource Utilization,
AbstractUsers of the Internet are still using the basic network communication model that was created way back 1960s. The grand idea of migration from host-centric to information-centric has made Content-Centric Networking (CCN) one of the eminent candidates for the future internet. The extension of caching technology as one of the components in the networking itself require deeper thought than just plug and play of current web or server caching techniques. While most studies are focusing on new caching strategies, this study will highlight the gaps by comparing common caching strategies in different predicted scenario of the future. The evaluation was done using simulation tools known as SocialCCNSim focusing on six relevant caching strategies: Leave Copy Everywhere (LCE), Leave Copy Down (LCD), ProbCache, Cache “Less for More”, MAGIC and Randomly Copy One (RCOne) in different network topologies: Tree and Diamond. Rank is given based on metrics such as Cache Hit, Stretch, Diversity and Eviction operations that represented the most commonly used metrics in networking. Results show that all caching strategies have their own behavior toward different network topology. However, Cache “Less for More” considered the best with balanced result for both performance and resource utilization metrics.
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