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Provably good task assignment on heterogeneous multiprocessor platforms for a restricted case but with a stronger adversary

dc.contributor.authorRaravi, Gurulingesh
dc.contributor.authorAndersson, Björn
dc.contributor.authorBletsas, Konstantinos
dc.date.accessioned2014-02-06T15:49:42Z
dc.date.available2014-02-06T15:49:42Z
dc.date.issued2011
dc.description.abstractConsider the problem of scheduling a set of implicit-deadline sporadic tasks to meet all deadlines on a heterogeneous multiprocessor platform. We consider a restricted case where the maximum utilization of any task on any processor in the system is no greater than one. We use an algorithm proposed in [1] (we refer to it as LP-EE) from state-of-the-art for assigning tasks to heterogeneous multiprocessor platform and (re-)prove its performance guarantee for this restricted case but for a stronger adversary. We show that if a task set can be scheduled to meet deadlines on a heterogeneous multiprocessor platform by an optimal task assignment scheme that allows task migrations then LP-EE meets deadlines as well with no migrations if given processors twice as fast.por
dc.identifier.urihttp://hdl.handle.net/10400.22/3757
dc.language.isoengpor
dc.peerreviewednopor
dc.publisherIPP-Hurray Grouppor
dc.relation.publisherversionhttp://www.cister.isep.ipp.pt/docs/por
dc.subjectHeterogeneous multiprocessorpor
dc.subjectTask migrationspor
dc.subjectReal-time schedulingpor
dc.titleProvably good task assignment on heterogeneous multiprocessor platforms for a restricted case but with a stronger adversarypor
dc.typereport
dspace.entity.typePublication
oaire.citation.endPage6por
oaire.citation.startPage1por
rcaap.rightsopenAccesspor
rcaap.typereportpor

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