Load balancing for term-distributed parallel retrieval

  • Authors:
  • Alistair Moffat;William Webber;Justin Zobel

  • Affiliations:
  • The University of Melbourne, Victoria, Australia;The University of Melbourne, Victoria, Australia;RMIT University, Victoria, Australia

  • Venue:
  • SIGIR '06 Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval
  • Year:
  • 2006

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Abstract

Large-scale web and text retrieval systems deal with amounts of data that greatly exceed the capacity of any single machine. To handle the necessary data volumes and query throughput rates, parallel systems are used, in which the document and index data are split across tightly-clustered distributed computing systems. The index data can be distributed either by document or by term. In this paper we examine methods for load balancing in term-distributed parallel architectures, and propose a suite of techniques for reducing net querying costs. In combination, the techniques we describe allow a 30% improvement in query throughput when tested on an eight-node parallel computer system.