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dc.contributor.authorSelvaraj, Arumugaraja
dc.date.accessioned2014-03-03T20:22:01Z
dc.date.available2014-03-03T20:22:01Z
dc.date.issued2002-12
dc.identifier.otherselvaraj_arumugaraja_200212_ms
dc.identifier.urihttp://purl.galileo.usg.edu/uga_etd/selvaraj_arumugaraja_200212_ms
dc.identifier.urihttp://hdl.handle.net/10724/20662
dc.description.abstractInteractive Computational Steering is the online, interactive allocation and adjustment of system resources and application parameters. Causal consistency is an important feature of interactive steering of distributed computations, as it is often required to maintain the correctness of the computation. However, due to the asynchronous nature of distributed computations, it is difficult to coordinate steering changes across processes to guarantee that the changes are applied consistently at all processes. Two general approaches exist for achieving interactive computational steering: conservative steering and optimistic steering. In this thesis, we present algorithms for the conservative steering approach. We also compare the performance of the conservative steering approach with that of the optimistic steering approach with regard to perturbation and lag.
dc.languageeng
dc.publisheruga
dc.rightspublic
dc.subjectConsistent steering
dc.subjectConservative steering
dc.subjectOptimistic steering
dc.subjectProcess synchronization
dc.subjectProcess states
dc.subjectCheckpoint
dc.subjectTransaction
dc.subjectConsistency
dc.subjectMessage logging
dc.subjectRollback.
dc.titleInteractive computational steering : conservative vs optimistic steering approaches
dc.typeThesis
dc.description.degreeMS
dc.description.departmentComputer Science
dc.description.majorComputer Science
dc.description.advisorEileen T. Kraemer
dc.description.committeeEileen T. Kraemer
dc.description.committeeThiab Taha
dc.description.committeeMaria Hybinette


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