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Combining Grid and Cloud Resources by Use of Middleware for SPMD Application

Brian Amedro 1 Françoise Baude 1 Fabrice Huet 1 Elton Mathias 1 
1 OASIS - Active objects, semantics, Internet and security
CRISAM - Inria Sophia Antipolis - Méditerranée , Laboratoire I3S - COMRED - COMmunications, Réseaux, systèmes Embarqués et Distribués
Abstract : Distributed computing environments have evolved from in-house clusters to Grids and now Cloud platforms. We, as others, provide HPC benchmarks results over Amazon EC2 that show a lower performance of Cloud resources compared to private resources. So, it is not yet clear how much of impact Clouds will have in high performance computing (HPC). But hybrid Grid/Cloud computing may offer opportunities to increase overall applications performance, while benefiting from in-house computational resources extending them by Cloud ones only whenever needed. In this paper, we advocate the usage of ProActive, a well established middleware in the grid community, for mixed Grid/Cloud computing, extended with features to address Grid/Cloud issues with little or no effort for application developers. We also introduce a framework, developed in the context of the DiscoGrid project, based upon the ProActive middleware to couple HPC domain-decomposition SPMD applications in heterogeneous multi-domain environments. Performance results coupling Grid and Cloud resources for the execution of such kind of highly communicating and processing intensive applications have shown an overhead of about 15%, which is a non-negligible value, but lower enough to consider using such environments to achieve a better cost-performance trade-off than using exclusively Cloud resources.
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Submitted on : Wednesday, February 9, 2011 - 5:09:28 PM
Last modification on : Saturday, June 25, 2022 - 11:05:33 PM
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  • HAL Id : inria-00538549, version 1



Brian Amedro, Françoise Baude, Fabrice Huet, Elton Mathias. Combining Grid and Cloud Resources by Use of Middleware for SPMD Application. 2nd International Conference on Cloud Computing Technology and Science, Nov 2010, Indianapolis, IN, United States. pp.177-184. ⟨inria-00538549⟩



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