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Keyword Search in DHT-Based Peer-to-Peer Networks

  • Byungryong Kim
  • Kichang Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4494)

Abstract

DHT(Distributed Hash Table) provides a very effective and reliable search scheme in P2P networks. However, when the search involves a multiple-keyword query, it suffers heavy network traffic due to the passing around of a large inverted list among P2P nodes. In this paper, we propose Distance-Based Pruning technique to cut down the size of the inverted list considerably. It utilizes the concept of distance between keywords in the query and removes those entries in the inverted list that are going to be dropped sooner or later. We prove this prediction is accurate and effective such that it reduces the size of the inverted list by 29%.

Keywords

Multicast Tree Distribute Hash Table Bloom Filter Candidate List Reference Node 
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 2007

Authors and Affiliations

  • Byungryong Kim
    • 1
  • Kichang Kim
    • 2
  1. 1.Department of Computer and Science Engineering, Inha University, IncheonKorea
  2. 2.School of Information and Communication Engineering, Inha University, IncheonKorea

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