Efficient Evaluation of Continuous Range Queries on Moving Objects

  • Authors:
  • Dmitri V. Kalashnikov;Sunil Prabhakar;Susanne E. Hambrusch;Walid G. Aref

  • Affiliations:
  • -;-;-;-

  • Venue:
  • DEXA '02 Proceedings of the 13th International Conference on Database and Expert Systems Applications
  • Year:
  • 2002

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Abstract

In this paper we evaluate several in-memory algorithms for efficient and scalable processing of continuous range queries over collections of moving objects. Constant updates to the index are avoided by query indexing. No constraints are imposed on the speed or path of moving objects. We present a detailed analysis of a grid approach which shows the best results for both skewed and uniform data. A sorting based optimization is developed for significantly improving the cache hit ratio. Experimental evaluation establishes that indexing queries using the Grid index yields orders of magnitude better performance than other index structures such as R*-trees.