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A parallel spatial join framework using PMR-quadtrees

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3 Author(s)
Lima, A.A.B. ; Dept. of Comput. Sci., UFRJ, Brazil ; Esperanca, C. ; Mattoso, M.

Spatial join is the most important and complex operation in spatial databases. Therefore, there is a lot of ongoing research presenting algorithms and data structures to efficiently process spatial joins. In this work we present a parallel solution for spatial join processing with a dynamic load balance strategy. We have implemented PMR-quadtrees (Samet, 1990) on top of persistent object structures using an object oriented database server

Published in:

Database and Expert Systems Applications, 2000. Proceedings. 11th International Workshop on

Date of Conference:

2000