Multiresolution query optimization in an online environment

  • Authors:
  • Kai Xu;Xiaofang Zhou

  • Affiliations:
  • IMAGEN group, National ICT Australia, Sydney, Australia;School of ITEE, The University of Queensland, Brisbane, Australia

  • Venue:
  • APWeb'05 Proceedings of the 7th Asia-Pacific web conference on Web Technologies Research and Development
  • Year:
  • 2005

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Abstract

Multiresolution (or multi-scale) techniques make it possible for Web-based GIS applications to access large dataset. The performance of such systems relies on data transmission over network and multiresolution query processing. In the literature the latter has received little research attention so far, and the existing methods are not capable of processing large dataset. In this paper, we aim to improve multiresolution query processing in an online environment. A cost model for such query is proposed first, followed by three strategies for its optimization. Significant theoretical improvement can be observed when comparing against available methods. Application of these strategies is also discussed, and similar performance enhancement can be expected if implemented in online GIS applications.