Content-Based Overlay Networks for XML Peers Based on Multi-level Bloom Filters

  • Georgia Koloniari
  • Yannis Petrakis
  • Evaggelia Pitoura
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2944)

Abstract

Peer-to-peer systems are gaining popularity as a means to effectively share huge, massively distributed data collections. In this paper, we consider XML peers, that is, peers that store XML documents. We show how an extension of traditional Bloom filters, called multi-level Bloom filters, can be used to route path queries in such a system. In addition, we propose building content-based overlay networks by linking together peers with similar content. The similarity of the content (i.e., the local documents) of two peers is defined based on the similarity of their filters. Our experimental results show that overlay networks built based on filter similarity are very effective in retrieving a large number of relevant documents, since peers with similar content tend to be clustered together.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Georgia Koloniari
    • 1
  • Yannis Petrakis
    • 1
  • Evaggelia Pitoura
    • 1
  1. 1.Department of Computer ScienceUniversity of IoanninaGreece

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