%0 Conference Proceedings
%T Behave: Behavioral Cache for Web Content
%+ As Scalable As Possible: foundations of large scale dynamic distributed systems (ASAP)
%A Frey, Davide
%A Goessens, Mathieu
%A Kermarrec, Anne-Marie
%< avec comité de lecture
%B 4th International Conference on Distributed Applications and Interoperable Systems (DAIS)
%C Berlin, Germany
%Y Kostas Magoutis
%Y Peter Pietzuch
%I Springer
%3 Lecture Notes in Computer Science
%V LNCS 8460
%P 89-103
%8 2014-06-03
%D 2014
%R 10.1007/978-3-662-43352-2_8
%Z Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]Conference papers
%X We propose Behave: a novel approach for peer-to-peer cache-oriented applications such as CDNs. Behave relies on the principle of Behavioral Locality inspired from collaborative filtering. Users that have visited sim-ilar websites in the past will have local caches that provide interesting content for one another. Behave exploits epidemic protocols to build overlapping communities of peers with similar interests. Peers in the same one-hop community federate their cache indexes in a Behavioral cache. Extensive simulations on a real data trace show that Behave can provide zero-hop lookup latency for about 50% of the content available in a DHT-based CDN.
%G English
%2 https://inria.hal.science/hal-01079976/document
%2 https://inria.hal.science/hal-01079976/file/main.pdf
%L hal-01079976
%U https://inria.hal.science/hal-01079976
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