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A network calculus for cache networks

Authors: Elisha J. Rosensweig; Jim Kurose;

A network calculus for cache networks

Abstract

Over the past few years Content-Centric Networking, a networking architecture in which host-to-content communication protocols are introduced, has been gaining much attention. A central component of such an architecture is a large-scale interconnected caching system. To date, the way these Cache Networks operate and perform is still poorly understood. Following the work of Cruz on queueing networks, in this paper we develop a network calculus for bounding flows in LRU cache networks of arbitrary topology. We analyze the tightness of these bounds as a function of several system parameters. Also, we derive from it several analytical results regarding these systems: the uniformizing impact of LRU on the request stream, and the significance of cache and routing diversity on performance.

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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
15
Average
Top 10%
Top 10%
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