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Energy efficient content locations for in-network caching

Authors: Satoshi Imai; Kenji Leibnitz; Masayuki Murata 0001;

Energy efficient content locations for in-network caching

Abstract

As various multimedia services are being provided on networks, broadband traffic is growing as well. Reducing traffic is important because power consumption in networks has been increasing year by year. Meanwhile, content caching is expected to reduce data traffic by storing content replicas on the network nodes and it is beneficial in view of energy efficiency. However, in order to realize an energy efficient network, it is necessary to allocate content replicas effectively in consideration of both power consumption of content caching and transmission of traffic. In this paper, we propose a design method which derives the energy efficient cache locations for content dissemination. Furthermore, we demonstrate the effectiveness of our proposed method.

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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!
4
Average
Average
Average
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