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JazzMatch: fine-grained parallel matching for large rule sets

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2 Author(s)
Richeldi, M. ; Dept. of Comput. Sci., Houston Univ., TX, USA ; Tan, J.

JazzMatch, a parallel matching algorithm explicitly designed for secondary memory-based production systems, is presented. JazzMatch is a state-saving algorithm that performs incremental match. It exploits extremely fine-grained parallelism and optimizes the storage state by permitting the sharing of common conditions in the rules. JazzMatch is supported by a message passing parallel architecture. A cost and performance analysis of JazzMatch is provided, and the results are compared with those for other schemes in current literature

Published in:

Data Engineering, 1993. Proceedings. Ninth International Conference on

Date of Conference:

19-23 Apr 1993