Fair Resource Sharing for Dynamic Scheduling of Workflows on Heterogeneous Systems

Abstract : Scheduling independent workflows on shared resources in a way that satisfy users Quality of Service is a significant challenge. In this study, we describe methodologies for off-line scheduling, where a schedule is generated for a set of knownworkflows, and on-line scheduling, where users can submit workflows at any moment in time. We consider the on-line scheduling problem in more detail and present performance comparisons of state-of-the-art algorithms for a realistic model of a heterogeneous system.
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Chapitre d'ouvrage
Emmanuel Jeannot and Julius Zilinskas. High-Performance Computing on Complex Environments, Wiley, 2014, Parallel and Distributed Computing series
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  • HAL Id : hal-00926460, version 1

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Hamid Arabnejad, Jorge Barbosa, Frédéric Suter. Fair Resource Sharing for Dynamic Scheduling of Workflows on Heterogeneous Systems. Emmanuel Jeannot and Julius Zilinskas. High-Performance Computing on Complex Environments, Wiley, 2014, Parallel and Distributed Computing series. 〈hal-00926460〉

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