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Perspectives on robust resource allocation for heterogeneous parallel and distributed systems

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dc.contributor.authorMaciejewski, Anthony A., author
dc.contributor.authorSiegel, Howard Jay, author
dc.contributor.authorAli, Shoukat, author
dc.contributor.authorChapman & Hall/CRC Press, publisher
dc.date.accessioned2007-01-03T08:09:40Z
dc.date.available2007-01-03T08:09:40Z
dc.date.issued2008
dc.description.abstractParallel and distributed systems may operate in an environment that undergoes unpredictable changes causing certain system performance features to degrade. Such systems need robustness to guarantee limited degradation despite some fluctuations in the behavior of its component parts or environment. This research investigates the robustness of an allocation of resources to tasks in parallel and distributed systems. The main contributions of this chapter are (1) a mathematical description of a metric for the robustness of a resource allocation with respect to desired system performance features against multiple perturbations in multiple system and environmental conditions, (2) a procedure for deriving a robustness metric for an arbitrary system, (3) derivation of robustness metrics for three example distributed systems, and (4) design of static heuristics to determine a robust resource allocation for one of the example systems.
dc.format.mediumborn digital
dc.format.mediumchapter titles
dc.identifier.bibliographicCitationAli, Shoukat, Howard Jay Siegel, and Anthony A. Maciejewski, Perspectives on Robust Resource Allocation for Heterogeneous Parallel and Distributed Systems, Rajasekaran, S. and J. Reif, eds. Handbook of Parallel Computing: Models, Algorithms, and Applications, 1-34. Boca Raton, FL: Chapman & Hall/CRC Press, 2008.
dc.identifier.urihttp://hdl.handle.net/10217/67400
dc.languageEnglish
dc.language.isoeng
dc.publisherColorado State University. Libraries
dc.relation.ispartofFaculty Publications
dc.rights©2008 Chapman & Hall/CRC Press.
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.subjectresource allocation
dc.subjectrobustness metric
dc.subjectrobustness
dc.subjectresource management systems
dc.subjectparallel and distributed systems
dc.titlePerspectives on robust resource allocation for heterogeneous parallel and distributed systems
dc.typeText

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