Parallelization and Distribution Strategies of Large Bioinformatics Requests over the Grid

Abstract : This paper focuses on simultaneous scheduling of computation and data replication for life science applications on the grid. We present an adaptive algorithm based on the SRA algorithm (Static Joint Replication and Scheduling) [4] with more dynamicity for the jobs frequencies. The use of a linear program giving a databases mapping on the nodes and a jobs distribution schema, ensures us that our data placement and jobs distribution will be near the optimal solution, as long as the informations about the jobs frequencies are right. We validate our results with large jobs submissions simulations on a realistic platform.
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Communication dans un congrès
ICA3PP 2008 - 8th International Conference ok Algorithms and Architectures for Parallel Processing, Jun 2008, Cyprus, Cyprus. Springer Berlin / Heidelberg, ICA3PP 2008: Algorithms and Architectures for Parallel Processing, 5022, pp.257-260, Lecture Notes in Computer Science. 〈10.1007/978-3-540-69501-1_26〉
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https://hal.inria.fr/hal-01428318
Contributeur : Eddy Caron <>
Soumis le : vendredi 6 janvier 2017 - 13:12:43
Dernière modification le : samedi 23 juin 2018 - 01:21:42

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Eddy Caron, Frédéric Desprez, Gaël Le Mahec. Parallelization and Distribution Strategies of Large Bioinformatics Requests over the Grid. ICA3PP 2008 - 8th International Conference ok Algorithms and Architectures for Parallel Processing, Jun 2008, Cyprus, Cyprus. Springer Berlin / Heidelberg, ICA3PP 2008: Algorithms and Architectures for Parallel Processing, 5022, pp.257-260, Lecture Notes in Computer Science. 〈10.1007/978-3-540-69501-1_26〉. 〈hal-01428318〉

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