Taking into account the execution context to optimize medical image databases indexation

Diane Lingrand 1 Tristan Glatard 1 Johan Montagnat 1
1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe MODALIS
Laboratoire I3S - SPARKS - Scalable and Pervasive softwARe and Knowledge Systems
Abstract : Grid are promising tools to tackle massively parallel medical applications such as medical image databases indexation but their complexity make the optimization of computation tasks and the design of computing models difficult. We tackle this complexity by a probabilistic approach. We have shown that a probabilistic model of the computing tasks execution time can be refined by taking into account the execution context which varies over the grid infrastructure. This modeling and the resulting optimization strategy enable the deployment of reliable and efficient large scale applications.
Keywords : Grid Computing
Type de document :
Communication dans un congrès
Second Singaporean-French Biomedical Imaging Workshop, Aug 2007, Lyon, France
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Contributeur : Diane Lingrand <>
Soumis le : vendredi 5 mars 2010 - 10:53:02
Dernière modification le : lundi 5 novembre 2018 - 15:52:09
Document(s) archivé(s) le : jeudi 18 octobre 2012 - 16:35:48

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Diane Lingrand, Tristan Glatard, Johan Montagnat. Taking into account the execution context to optimize medical image databases indexation. Second Singaporean-French Biomedical Imaging Workshop, Aug 2007, Lyon, France. 〈hal-00461626〉

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