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Mapping tightly-coupled applications on volatile resources

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 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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https://hal.inria.fr/hal-00763376
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Submitted on : Monday, December 10, 2012 - 4:10:55 PM
Last modification on : Tuesday, November 19, 2019 - 2:44:27 AM
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Henri Casanova, Fanny Dufossé, Yves Robert, Frédéric Vivien. Mapping tightly-coupled applications on volatile resources. PDP'2013, the 21st Euromicro Int. Conf. on Parallel, Distributed, and Network-Based Processing, Feb 2013, Belfast, United Kingdom. ⟨hal-00763376⟩

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