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Estimation of Parameters Sensitivity for Scientific Workflows
University of Vienna.
University of Vienna.
University of Vienna.
University of Vienna.
2009 (English)In: 2009 International Conference on Parallel Processing Workshops, IEEE Computer Society, 2009, 457-462 p.Conference paper, Published paper (Refereed)
Abstract [en]

Usually workflow activities in the scientific domain depend on a collection of parameters. These parameters determine the output of the activity, and consequently the output of the whole workflow. In the scientific domain, workflows have exploratory nature and are used to understand a scientific phenomenon or answer scientific questions. In the process of a scientific experiment a workflow is executed multiple times using various values of the parameters of activities. It is relevant to identify (1) which parameter strongly affects the overall result of the workflow and (2) for which combination of parameter values we obtain the expected result. Foreseeing these issues, in this paper we present our methodology to estimate the significance of all scientific workflow parameters as well as to estimate the most significant parameter to the workflow. The estimation of parameter significance will enable the scientist to fine tune, and optimize his results efficiently. Furthermore, we empirically validate our methodology on Non-Invasive Glucose Measurement workflow and discuss our results. The NIGM workflow uses the neural network model to calculate the glucose level in patient blood. The neural network model has a set of parameters, which affect the result of the workflow significantly. But, unfortunately the impact significance of these parameters is commonly unknown to the user. We present our approach for estimating and quantifying impact significance of neural network parameters.

Place, publisher, year, edition, pages
IEEE Computer Society, 2009. 457-462 p.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-28218DOI: 10.1109/ICPPW.2009.9ISBN: 978-1-4244-4923-1 (print)OAI: oai:DiVA.org:lnu-28218DiVA: diva2:641210
Conference
The 38th International Conference on Parallel Processing Workshops, ICPPW 2009, 22-25 Sept. 2009, Vienna
Available from: 2013-08-15 Created: 2013-08-15 Last updated: 2013-10-16Bibliographically approved

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Pllana, Sabri

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf