Performance evaluation of rule execution semantics in active databases

Author

Baralis, Elena ; Bianco, Andrea

Author_Institution

Dipartimento di Autom. e Inf., Torino Univ., Italy

fYear

1997

fDate

7-11 Apr 1997

Firstpage

365

Lastpage

374

Abstract

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

Keywords

active databases; deductive databases; software performance evaluation; software reliability; transaction processing; virtual machines; active database system; active rule programming; data instances; operating conditions; overall performance; performance evaluation; performance trade-offs; rule execution semantics; rule statements; rule triggering breadth; simulation experiments; transaction statements; Analytical models; Context modeling; Database systems; Information retrieval; Object oriented modeling; Performance analysis; Performance evaluation; Prototypes; Qualifications; Transaction databases;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Birmingham

ISSN

1063-6382

Print_ISBN

0-8186-7807-0

Type

conf

DOI

10.1109/ICDE.1997.581878

Filename

581878