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Measuring the robustness of resource allocations for distributed domputer systems in a stochastic dynamic environment

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dc.contributor.authorDewri, Rinku, author
dc.contributor.authorAlqudah, Amin, author
dc.contributor.authorGovindasamy, Sudha, author
dc.contributor.authorJanovy, David, author
dc.contributor.authorSutton, Andrew, author
dc.contributor.authorLadd, Joshua, author
dc.contributor.authorPrakash, Puneet, author
dc.contributor.authorRenner, Timothy, author
dc.contributor.authorSiegel, Howard Jay, author
dc.contributor.authorMaciejewski, Anthony A., author
dc.contributor.authorBriceƱo, Luis D., author
dc.contributor.authorSmith, Jay, author
dc.contributor.authorShestak, Vladimir, author
dc.date.accessioned2007-01-03T06:48:56Z
dc.date.available2007-01-03T06:48:56Z
dc.date.issued2006
dc.description.abstractHeterogeneous distributed computing systems often must function in an environment where system parameters are subject to variations during operation. Robustness can be defined as the degree to which a system can function correctly in the presence of parameter values different from those assumed. We present a methodology for quantifying the robustness of resource allocations in a dynamic environment where task execution times vary within predictable ranges and tasks arrive randomly. The methodology is evaluated through measuring the robustness of three different resource allocation heuristics within the context of the stochastically modeled dynamic environment. A Bayesian regression model is fit to the combined results of the three heuristics to demonstrate the correlation between the stochastic robustness metric and the presented performance metric. The correlation results demonstrated the significant potential of the stochastic robustness metric to predict the relative performance of the three heuristics given a common objective function.
dc.format.mediumborn digital
dc.format.mediumStudent works
dc.format.mediumposters
dc.identifierCOFISTeC2006008.pdf
dc.identifierSTUFISTC2006100008POST
dc.identifier.urihttp://hdl.handle.net/10217/89372
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofStudent Research Posters
dc.rightsCopyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright.
dc.subjectstochastic robustness metric
dc.subjectheterogeneous distributed computing
dc.subjectheuristics
dc.titleMeasuring the robustness of resource allocations for distributed domputer systems in a stochastic dynamic environment
dc.typeText
thesis.degree.disciplineEngineering
thesis.degree.disciplineElectrical and Computer Engineering

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