LINP: supporting similarity search in unstructured peer-to-peer networks

  • Authors:
  • Bin Cui;Weining Qian;Linhao Xu;Aoying Zhou

  • Affiliations:
  • Peking University, China;East China Normal University, China and Fudan University, China;National University of Singapore;East China Normal University, China and Fudan University, China

  • Venue:
  • APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
  • Year:
  • 2007

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Abstract

An important problem that confronts peer-to-peer (P2P) systems is efficient support for content-based search. In this paper, we look at how similarity query in high-dimensional spaces can be supported in unstructured P2P systems. We design an efficient indexmechanism, named Linking Identical Neighborly Partitions (LINP), which takes advantage of both space partitioning and routing indices techniques. We evaluate our proposed scheme over various data sets, and experimental results show the efficacy of our approach.