SPARQL query optimization on top of DHTs

  • Authors:

  • Zoi Kaoudi;Kostis Kyzirakos;Manolis Koubarakis

  • Affiliations:

  • Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece;Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece;Dept. of Informatics and Telecommunications, National and Kapodistrian University of Athens, Greece

  • Venue:
  • ISWC'10 Proceedings of the 9th international semantic web conference on The semantic web - Volume Part I
  • Year:
  • 2010

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Abstract

We study the problem of SPARQL query optimization on top of distributed hash tables. Existing works on SPARQL query processing in such environments have never been implemented in a real system, or do not utilize any optimization techniques and thus exhibit poor performance. Our goal in this paper is to propose efficient and scalable algorithms for optimizing SPARQL basic graph pattern queries. We augment a known distributed query processing algorithm with query optimization strategies that improve performance in terms of query response time and bandwidth usage. We implement our techniques in the system Atlas and study their performance experimentally in a local cluster.