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Hierarchical multidimensional search in peer-to-peer networks

  • Oregon State University

Research output: Contribution to journal › Article › peer-review

Abstract

We propose a P2P search solution, called EZSearch, that enables efficient multidimensional search for remotely located contents that best match the search criteria. EZSearch is a hierarchical approach; it organizes the network into a hierarchy in a way fundamentally different from existing search techniques. EZSearch is based on Zigzag, a P2P overlay architecture known for its scalability and robustness under network growth and dynamics. The indexing architecture of EZSearch is built on top of the Zigzag hierarchy, that allows both k-nearest-neighbor and range queries to be answered with low search overhead and worst-case search time logarithmic with the network size. The indices are fairly distributed over a small number of nodes at a modest cost for index storage and update. The performance results of EZSearch drawn from our performance study are encouraging.

Original languageEnglish
Pages (from-to)346-357
Number of pages12
JournalComputer Communications
Volume31
Issue number2
DOIs
StatePublished - Feb 5 2008

ASJC Scopus Subject Areas

  • Computer Networks and Communications

Keywords

  • Information retrieval
  • Peer-to-peer networks
  • Similarity search

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