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Mapping Tightly-Coupled Applications on Volatile Resources


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 two additional complications: one should take into account that workers can become temporarily reclaimed and, for data-intensive applications, one should account for the limited bandwidth between the master and the workers. 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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Dates and versions

ensl-00697621 , version 1 (15-05-2012)


  • HAL Id : ensl-00697621 , version 1


Henri Casanova, Fanny Dufossé, Yves Robert, Frédéric Vivien. Mapping Tightly-Coupled Applications on Volatile Resources. 2012. ⟨ensl-00697621⟩
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