A task replication and fair resource management scheme for fault tolerant grids

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dc.contributor.author Litke, A en
dc.contributor.author Tserpes, K en
dc.contributor.author Dolkas, K en
dc.contributor.author Varvarigou, T en
dc.date.accessioned 2014-03-01T02:43:05Z
dc.date.available 2014-03-01T02:43:05Z
dc.date.issued 2005 en
dc.identifier.issn 0302-9743 en
dc.identifier.uri http://hdl.handle.net/123456789/31221
dc.subject Failure Probability en
dc.subject Fault Tolerant en
dc.subject Resource Manager en
dc.subject.classification Computer Science, Theory & Methods en
dc.subject.other Computer simulation en
dc.subject.other Computer software en
dc.subject.other Computer system recovery en
dc.subject.other Probability en
dc.subject.other Resource allocation en
dc.subject.other Failure probability en
dc.subject.other Fault tolerant model en
dc.subject.other Grid environment en
dc.subject.other Resource management en
dc.subject.other Fault tolerant computer systems en
dc.title A task replication and fair resource management scheme for fault tolerant grids en
heal.type conferenceItem en
heal.identifier.primary 10.1007/11508380_104 en
heal.identifier.secondary http://dx.doi.org/10.1007/11508380_104 en
heal.language English en
heal.publicationDate 2005 en
heal.abstract In this paper we study a fault tolerant model for Grid environments based on the task replication concept. The basic idea is to produce and submit to the Grid multiple replicas of a given task, given the fact that the failure probability for each one of them is known a priori. We introduce a scheme for the calculation of the number of replicas for the case of having diverse failure probabilities of each task replica and propose an efficient resource management scheme, based on fair share technique, which handles the task replicas so as to maintain in a fair way the fault tolerance in the Grid. Our study concludes with the presentation of the simulation results which validate the proposed scheme. © Springer-Verlag Berlin Heidelberg 2005. en
heal.publisher SPRINGER-VERLAG BERLIN en
heal.journalName Lecture Notes in Computer Science en
dc.identifier.doi 10.1007/11508380_104 en
dc.identifier.isi ISI:000230883700104 en
dc.identifier.volume 3470 en
dc.identifier.spage 1022 en
dc.identifier.epage 1031 en

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