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Exhaustion dominated performance: a first attempt
University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
University West, School of Business, Economics and IT, Division of Computer Science and Informatics.ORCID iD: 0000-0001-7232-0079
University West, School of Business, Economics and IT, Division of Computer Science and Informatics.
2009 (English)In: SAC '09: Proceedings of the 2009 ACM symposium on Applied Computing, ACM , 2009, p. 1011-1012Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we present a first attempt to an analytical method to discover and understand how the available resources influence the execution time. Our method is based on a piecewise linear model for dominating execution limitations and black-box observations. We verify this analysis method by a set of real-world experiments. Finally, we conclude that the different effects follow a linear superposition within a certain range.

Place, publisher, year, edition, pages
ACM , 2009. p. 1011-1012
Keywords [en]
cluster, measurement, method, resource deficiency
National Category
Computer Sciences
Research subject
ENGINEERING, Computer engineering
Identifiers
URN: urn:nbn:se:hv:diva-1723DOI: 10.1145/1529282.1529504ISBN: 978-1-60558-166-8 (print)OAI: oai:DiVA.org:hv-1723DiVA, id: diva2:241113
Note

Ingår i avhandling

Available from: 2009-10-01 Created: 2009-09-30 Last updated: 2019-01-04Bibliographically approved
In thesis
1. Exhaustion Dominated Performance: Methodology, Tools and Empirical Experiments
Open this publication in new window or tab >>Exhaustion Dominated Performance: Methodology, Tools and Empirical Experiments
2008 (English)Licentiate thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Göteborg: Chalmers University of Technology and Göteborg University, 2008. p. 69
Series
Technical report - Department of Computer Science and Engineering, ISSN 1652-926x ; 57L
Keywords
Computer cluster, resource exhaustion, measurement methodology, verification methods, engineering simulation applications
National Category
Computer Sciences
Research subject
Engineering, Computer engineering
Identifiers
urn:nbn:se:hv:diva-1730 (URN)
Presentation
(English)
Available from: 2009-10-20 Created: 2009-10-01 Last updated: 2018-01-13Bibliographically approved

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de Blanche, Andreas

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