Processing rank-aware queries in P2P systems

  • Authors:
  • Katja Hose;Marcel Karnstedt;Anke Koch;Kai-Uwe Sattler;Daniel Zinn

  • Affiliations:
  • Department of Computer Science and Automation, TU Ilmenau, Ilmenau, Germany;Department of Computer Science and Automation, TU Ilmenau, Ilmenau, Germany;Department of Computer Science and Automation, TU Ilmenau, Ilmenau, Germany;Department of Computer Science and Automation, TU Ilmenau, Ilmenau, Germany;Department of Computer Science and Automation, TU Ilmenau, Ilmenau, Germany

  • Venue:
  • DBISP2P'05/06 Proceedings of the 2005/2006 international conference on Databases, information systems, and peer-to-peer computing
  • Year:
  • 2005

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Abstract

Efficient query processing in P2P systems poses a variety of challenges. As a special problem in this context we consider the evaluation of rank-aware queries, namely top-N and skyline, on structured data. The optimization of query processing in a distributed manner at each peer requires locally available statistics. In this paper, we address this problem by presenting approaches relying on the R-tree and histogram-based index structures. We show how this allows for optimizing rank-aware queries even over multiple attributes and thus significantly enhances the efficiency of query processing.