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Parallel R-tree spatial join for a shared-nothing architecture

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2 Author(s)
Mutenda, L. ; Inst. of Ind. Sci., Tokyo Univ., Japan ; Kitsuregawa, M.

The growing importance of spatial data has made it imperative that spatial operations be executed efficiently. The most expensive operation is the join for spatial databases. We propose a replicated parallel packed R-tree and its use in performing the parallel R-tree join. We examine its performance using the Digital Chart of the World Data on a shared nothing machine. Our experimental results show that the proposed tree and heuristics for load balancing improve parallel R-tree join

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Database Applications in Non-Traditional Environments, 1999. (DANTE '99) Proceedings. 1999 International Symposium on

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