Energy-aware scheduling of flow applications on master-worker platforms

Abstract : In this report, we consider the problem of scheduling an application composed of independent tasks on a fully heterogeneous master-worker platform with communication costs. We introduce a bi-criteria approach aiming at maximizing the throughput of the application while minimizing the energy consumed by participating resources. Assuming arbitrary super-linear power consumption laws, we investigate different models for energy consumption, with and without start-up overheads. Building upon closed-form expressions for the uniprocessor case, we are able to derive optimal or asymptotically optimal solutions for both models.
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[Research Report] RR-6706, INRIA. 2008
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Dernière modification le : jeudi 11 janvier 2018 - 06:21:36
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  • HAL Id : inria-00335255, version 1

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Jean-François Pineau, Yves Robert, Frédéric Vivien. Energy-aware scheduling of flow applications on master-worker platforms. [Research Report] RR-6706, INRIA. 2008. 〈inria-00335255〉

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