Optimizing distributed spatial joins using R-Trees

  • Authors:
  • Orlando Karam;Fred Petry

  • Affiliations:
  • Southern Polytechnic State University;Tulane University

  • Venue:
  • Proceedings of the 43rd annual Southeast regional conference - Volume 1
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

One of the basic problems in distributed databases is how to efficiently perform distributed joins. Spatial databases are particularly appropriate for distribution, but we need special techniques to deal with spatial data efficiently.In this work we study the distributed spatial join problem and how to perform this operation efficiently. We develop cost models for estimating the cost of this operation. We study the issues involved in optimizing it and develop specific techniques using R-Trees. Our techniques outperform other widely-used approaches for this operation.