Popularity-Based content replication in peer-to-peer networks

Authors:
Yohei Kawasaki;Noriko Matsumoto;Norihiko Yoshida
Affiliations:
Department of Information and Computer Sciences, Saitama University, Saitama, Japan;Department of Information and Computer Sciences, Saitama University, Saitama, Japan;Department of Information and Computer Sciences, Saitama University, Saitama, Japan
Venue:
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
Year:
2006

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Abstract

Pure peer-to-peer (P2P) networks is widely used, however they broadcast query packets, and cause excessive network traffic in particular. Addressing this issue, we propose a new strategy for content replication which prioritizes popular and attracting contents. Our strategy is based on replication adjustment, being cooperated with index caching, as well as LRU-based content replacement, and a more effective replica placement method than well-known probabilistic ones. We also present some experiment results to show that our strategy is better than other ones in regards to network traffic and storage consumption.