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Popularity-Based Content Replication in Peer-to-Peer Networks

  • Yohei Kawasaki
  • Noriko Matsumoto
  • Norihiko Yoshida
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3994)

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.

Keywords

Distribute Hash Table Search Path Replica Placement Content Popularity Query Packet 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Yohei Kawasaki
    • 1
  • Noriko Matsumoto
    • 1
  • Norihiko Yoshida
    • 1
  1. 1.Department of Information and Computer SciencesSaitama UniversitySaitamaJapan

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