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Scheduling Tightly-Coupled Applications on Heterogeneous Desktop Grids

Abstract : Platforms that comprise volatile processors, such as desktop grids, have been traditionally used for executing independent-task applications. In this work we study the scheduling of tightly-coupled iterative master-worker applications onto volatile processors. The main challenge is that workers must be simultaneously available for the application to make progress. We consider three additional complications: (i) one should take into account that workers can become temporarily reclaimed and, for data-intensive applications; (ii) one should account for the limited bandwidth between the master and the workers; and (iii) workers are strongly heterogeneous, with different computing speeds and availability probability distributions. In this context, our first contribution is a theoretical study of the scheduling problem in its off-line version, i.e., when processor availability is known in advance. Even in this case the problem is NP-hard. Our second contribution is an analytical approximation of the expectation of the time needed by a set of workers to complete a set of tasks and of the probability of success of this computation. This approximation relies on a Markovian assumption for the temporal availability of processors. Our third contribution is a set of heuristics, some of which use the above approximation to favor reliable processors in a sensible manner. We evaluate these heuristics in simulation. We identify some heuristics that significantly outperform their competitors and derive heuristic design guidelines.
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https://hal.inria.fr/hal-00788606
Contributor : Equipe Roma <>
Submitted on : Monday, February 18, 2013 - 2:04:11 PM
Last modification on : Tuesday, November 19, 2019 - 2:39:56 AM
Document(s) archivé(s) le : Sunday, April 2, 2017 - 12:03:34 AM

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  • HAL Id : hal-00788606, version 1

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Henri Casanova, Fanny Dufossé, Yves Robert, Frédéric Vivien. Scheduling Tightly-Coupled Applications on Heterogeneous Desktop Grids. HCW 2013 - 22nd International Heterogeneity in Computing Workshop, May 2013, Boston, United States. ⟨hal-00788606⟩

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