Show simple item record

dc.contributor.authorSolsona Tehàs, Francesc
dc.contributor.authorGiné, Francesc
dc.contributor.authorHernández Budé, Porfidio
dc.contributor.authorLuque, Emilio
dc.date.accessioned2011-06-07T11:10:23Z
dc.date.available2011-06-07T11:10:23Z
dc.date.issued2001
dc.identifier.issn1666-6046 (versió paper)
dc.identifier.issn1666-6038
dc.identifier.urihttp://hdl.handle.net/10459.1/41495
dc.description.abstractOur efforts are directed towards the understanding of the coscheduling mechanism in a NOW system when a parallel job is executed jointly with local workloads, balancing parallel performance against the local interactive response. Explicit and implicit coscheduling techniques in a PVM-Linux NOW (or cluster) have been implemented. Furthermore, dynamic coscheduling remains an open question when parallel jobs are executed in a non-dedicated Cluster. A basis model for dynamic coscheduling in Cluster systems is presented in this paper. Also, one dynamic coscheduling algorithm for this model is proposed. The applicability of this algorithm has been proved and its performance analyzed by simulation. Finally, a new tool (named Monito) for monitoring the different queues of messages in such an environments is presented. The main aim of implementing this facility is to provide a mean of capturing the bottlenecks and overheads of the communication system in a PVM-Linux cluster.ca_ES
dc.language.isoengca_ES
dc.publisherIberoamerican Science & Technology Education Consortiumca_ES
dc.relation.isformatofReproducció del document publicat a https://doi.org/10.1007/978-3-540-45209-6_32ca_ES
dc.relation.ispartofJournal of Computer Science & Technology, 2001, vol. 1, núm. 4, p. 1-15ca_ES
dc.rights(c) Iberoamerican Science & Technology Education Consortium, 2001ca_ES
dc.subjectCoschedulingca_ES
dc.subjectMonitoring toolca_ES
dc.subjectPVMca_ES
dc.subjectLinuxca_ES
dc.subject.otherMultiprocessadorsca_ES
dc.subject.otherCluster, Anàlisi deca_ES
dc.subject.otherOrdinadors, Xarxes d' -- Gestióca_ES
dc.titleCoscheduling techniques and monitoring tools for non-dedicated cluster computingca_ES
dc.typearticleca_ES
dc.identifier.idgrec002028
dc.type.versionpublishedVersionca_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.identifier.doihttps://doi.org/10.1007/978-3-540-45209-6_32


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record