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Analysis of in-network caching for ICN

Authors: Amit Gupta; Samar Shailendra; Akhil Girish;

Analysis of in-network caching for ICN

Abstract

Information Centric Networking (ICN) is one of the proposed alternative paradigms to improve traditional network performance. In ICN architecture, caching is used to enhance the efficiency of the content distribution. The major challenge for designing caching in ICN architecture is determining how a content is cached, including both the content placement policy and the replacement policy. There are many in-network caching mechanisms for ICN. In this paper, we study the performance of various content placement policies in combination with multiple content replacement policies. We evaluate these policies on different performance metrics for different network traffic patterns. These results will be helpful in designing caching mechanisms for the ICN architecture.

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Powered by OpenAIRE graph
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
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