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Advance reservations for distributed real-time workflows with probabilistic service guarantees

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dc.contributor.author Cucinotta, T en
dc.contributor.author Konstanteli, K en
dc.contributor.author Varvarigou, T en
dc.date.accessioned 2014-03-01T02:45:56Z
dc.date.available 2014-03-01T02:45:56Z
dc.date.issued 2009 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/32473
dc.subject Advance reservations en
dc.subject Probabilistic service guarantees en
dc.subject Real-time interactive workflows en
dc.subject.other Admission control tests en
dc.subject.other Advance reservation en
dc.subject.other Business rules en
dc.subject.other Objective functions en
dc.subject.other Optimum allocation en
dc.subject.other Physical resources en
dc.subject.other Problem description en
dc.subject.other Service guarantees en
dc.subject.other Work-flows en
dc.subject.other Management en
dc.title Advance reservations for distributed real-time workflows with probabilistic service guarantees en
heal.type conferenceItem en
heal.identifier.primary 10.1109/SOCA.2009.5410268 en
heal.identifier.secondary http://dx.doi.org/10.1109/SOCA.2009.5410268 en
heal.identifier.secondary 5410268 en
heal.publicationDate 2009 en
heal.abstract This paper addresses the problem of optimum allocation of distributed real-time workflows with probabilistic service guarantees over a Grid of physical resources made available by a provider. The discussion focuses on how such a problem may be mathematically formalised, both in terms of constraints and objective function to be optimized, which also accounts for possible business rules for regulating the deployment of the workflows. The presented formal problem constitutes a probabilistic admission control test that may be run by a provider in order to decide whether or not it is worth to admit new workflows into the system, and to decide what the optimum allocation of the workflow to the available resources is. Various options are presented which may be plugged into the formal problem description, depending on the specific needs of individual workflows. ©2009 IEEE. en
heal.journalName IEEE International Conference on Service-Oriented Computing and Applications, SOCA' 09 en
dc.identifier.doi 10.1109/SOCA.2009.5410268 en
dc.identifier.spage 254 en
dc.identifier.epage 261 en


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