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Evaluation and Optimization of the Robustness of DAG Schedules in Heterogeneous Environments

Louis-Claude Canon 1, * Emmanuel Jeannot 1, * 
* Corresponding author
1 ALGORILLE - Algorithms for the Grid
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : A schedule is said robust if it is able to absorb some degree of uncertainty in tasks duration while maintaining a stable solution. This intuitive notion of robustness has led to a lot of different metrics and almost no heuristics. In this paper, we perform an experimental study of these different metrics and show how they are correlated to each other. Additionally, we proposed different strategies for minimizing the makespan while maximizing the robustness: from an evolutionary metaheuristic (best solutions but longer computation time) to more simple heuristics making approximations (bad quality solutions but fast computation time). We compare these different approaches experimentally and show that we are able to find different approximations of the Pareto front for this bicriteria problem.
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Submitted on : Monday, March 17, 2008 - 9:59:34 AM
Last modification on : Saturday, June 25, 2022 - 7:44:50 PM
Long-term archiving on: : Friday, November 25, 2016 - 10:28:08 PM


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  • HAL Id : inria-00261376, version 2



Louis-Claude Canon, Emmanuel Jeannot. Evaluation and Optimization of the Robustness of DAG Schedules in Heterogeneous Environments. [Research Report] RR-6476, INRIA. 2008, pp.43. ⟨inria-00261376v2⟩



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