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Performance evaluation of rule execution semantics in active databases

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2 Author(s)
Baralis, E. ; Dipartimento di Autom. e Inf., Torino Univ., Italy ; Bianco, A.

Different rule execution semantics may be available in the same active database system. We perform several simulation experiments to evaluate the performance trade-offs yielded by different execution semantics in various operating conditions. In particular, we evaluate the effect of executing transaction and rule statements that affect a varying number of data instances, and applications with different rule triggering breadth and depth. Since references to data changed by the database operation triggering the rules are commonly used in active rule programming, we also analyze the impact of its management on overall performance

Published in:

Data Engineering, 1997. Proceedings. 13th International Conference on

Date of Conference:

7-11 Apr 1997