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

Litke, A; Tserpes, K; Dolkas, K; Varvarigou, T

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	https://dspace.lib.ntua.gr/xmlui/handle/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
heal.bookName	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