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Please use this identifier to cite or link to this item: http://hdl.handle.net/10373/283

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Title: Modelling parallel oracle for performance prediction
Authors: Dempster, Euan W.
Tomov, N. T.
Williams, M. H.
Taylor, H.
Burger, A.
Trinder, P.
Lü, J.
Broughton, P.
Affiliation: University of Abertay Dundee. School of Contemporary Sciences
Keywords: Analytical modelling
Parallel Oracle
Performance prediction
Parallel database
Issue Date: May-2003
Publisher: Springer Verlag
Type: Journal Article
Refereed: peer-reviewed
Rights: Published version (c)Springer Verlag, available from DOI: 10.1023/A:1022875525392. The original publication is available at www.springerlink.com
Citation: Dempster, E. W., et al. 2003. Modelling parallel oracle for performance prediction. Distributed and Parallel Databases. 13(3): pp. 251-269. [Online] Available from: DOI: 10.1023/A:1022875525392
Abstract: The problem of predicting the performance of a parallel relational DBMS for a set of queries applied to a particular data set on a shared nothing parallel architecture without transferring the application to a parallel system is a challenging one. An analytical approach has been developed to assist with this task and has been applied to the ICL GoldRush machine, a parallel machine with a shared-nothing architecture. This paper describes how the Oracle Parallel Server and the Parallel Query Option are modelled by the method and compares the predictions of the model against actual measurements obtained.
URI: http://hdl.handle.net/10373/283
ISSN: 1573-7578
Appears in Collections:Science Engineering & Technology Collection

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