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Resource management in heterogeneous computing systems with tasks of varying importance

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dc.contributor.authorKhemka, Bhavesh, author
dc.contributor.authorMaciejewski, Anthony A., advisor
dc.contributor.authorSiegel, H. J., advisor
dc.contributor.authorPasricha, Sudeep, committee member
dc.contributor.authorKoenig, Gregory A., committee member
dc.contributor.authorBurns, Patrick J., committee member
dc.date.accessioned2007-01-03T06:31:34Z
dc.date.available2015-09-30T06:30:24Z
dc.date.issued2014
dc.description.abstractThe problem of efficiently assigning tasks to machines in heterogeneous computing environments where different tasks can have different levels of importance (or value) to the computing system is a challenging one. The goal of this work is to study this problem in a variety of environments. One part of the study considers a computing system and its corresponding workload based on the expectations for future environments of Department of Energy and Department of Defense interest. We design heuristics to maximize a performance metric created using utility functions. We also create a framework to analyze the trade-offs between performance and energy consumption. We design techniques to maximize performance in a dynamic environment that has a constraint on the energy consumption. Another part of the study explores environments that have uncertainty in the availability of the compute resources. For this part, we design heuristics and compare their performance in different types of environments.
dc.format.mediumborn digital
dc.format.mediumdoctoral dissertations
dc.identifierKhemka_colostate_0053A_12581.pdf
dc.identifier.urihttp://hdl.handle.net/10217/83746
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartof2000-2019
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.subjectenergy-aware scheduling
dc.subjecthigh performance computing
dc.subjectresource allocations
dc.subjectreward
dc.subjectfault tolerance
dc.subjectheterogeneous computing
dc.titleResource management in heterogeneous computing systems with tasks of varying importance
dc.typeText
dcterms.embargo.expires2015-09-30
dcterms.embargo.terms2015-09-30
dcterms.rights.dplaThis Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s).
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorColorado State University
thesis.degree.levelDoctoral
thesis.degree.nameDoctor of Philosophy (Ph.D.)

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