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Data partition: a practical parallel evaluation of datalog programs

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3 Author(s)
Zhang, W. ; Dept. of Math. & Comput. Sci., Lethbridge Univ., Alta., Canada ; Ke Wang ; Siu-Cheung Chau

The authors analyse previous parallel evaluation strategies based on the partition of rule instantiations. They present a parallel evaluation strategy for general Datalog programs that is based on the partition of data and is more practical. A key issue is to determine a criterion of data transmission that reduces the amount of data transmitted and is tested efficiently. A notion of potential usefulness is given as such a criterion. The problem of designing appropriate partition schemes and processing schemes is addressed. Heuristics and algorithms are proposed for making decisions in the design process

Published in:

Parallel and Distributed Information Systems, 1991., Proceedings of the First International Conference on

Date of Conference:

4-6 Dec 1991