Name
Title | ||
|---|---|---|
P-CLS: A popularity-driven Caching Location and Searching scheme in Content Centric Networking. |
Abstract | ||
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Content Centric Networking (CCN) is an emerging next-generation network infrastructure around content dissemination and retrieval, shifting from physical locations to named data. The built-in caching capacity of CCN, termed as in-network caching, promises to enable fast and effective content distribution at a global scale. Because of the in-network caching, the caching strategy of content location potentially affects how to make content searching decisions, while content searching in return decides in which routers content are stored. The relationship between content caching location and content searching has not been fully exploited in CCN or further used for the whole network performance improvement. This paper exploits the content caching location and content searching mechanism of CCN, and proposes a Popularity-driven content Caching Location and Searching scheme (P-CLS) in CCN. P-CLS leverages content access popularity to realize diverse content distribution and reduce content caching redundancy, which also overcomes the oscillation and frequent replacement phenomenon in the existing content caching and searching (CLS) scheme. Extensive simulations via hierarchical and arbitrary caching topologies show that the proposed scheme outperforms the existing caching algorithms. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/PCCC.2015.7410325 | IPCCC |
Keywords | Field | DocType |
P-CLS,content centric networking,CCN built-in caching capacity,content dissemination,content retrieval,next-generation network infrastructure,named data,in-network caching,content distribution,whole network performance improvement,popularity-driven content caching location and searching scheme,content access,content caching redundancy reduction | Computer science,Popularity,Computer network,Exploit,False sharing,Network topology,Cache algorithms,Redundancy (engineering),Content centric networking,Network performance | Conference |
ISSN | Citations | PageRank |
1097-2641 | 1 | 0.35 |
References | Authors | |
12 | 5 | |