Towards dynamic adaptability support for the master-worker paradigm in component based applications

Françoise André 1 Hinde Lilia Bouziane 1 Jérémy Buisson 1 Jean-Louis Pazat 1 Christian Pérez 1
1 PARIS - Programming distributed parallel systems for large scale numerical simulation
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, ENS Cachan - École normale supérieure - Cachan, Inria Rennes – Bretagne Atlantique
Abstract : When executing scientific applications, resources that may be used can vary from multi-core processors to grids. Therefore, abstracting the programming model enables portability on various resource infrastructures. Furthermore, software component technology appears to be a very promising approach to deal with the growing complexity of scientific applications. Hence, we proposed a model to improve the support of master-worker paradigm in component models. Capitalizing on our experience of adaptability frameworks, we propose to enhance our model so that master-worker applications can adapt at runtime to varying conditions. This report studies how to introduce transparently adaptability in our model for master-worker applications, what impact it has on the model, and what requirements it expects from the adaptability framework.
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[Technical Report] RT-0333, INRIA. 2007, pp.12
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Soumis le : jeudi 19 avril 2007 - 11:40:20
Dernière modification le : mercredi 21 février 2018 - 01:47:28
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  • HAL Id : inria-00140853, version 2


Françoise André, Hinde Lilia Bouziane, Jérémy Buisson, Jean-Louis Pazat, Christian Pérez. Towards dynamic adaptability support for the master-worker paradigm in component based applications. [Technical Report] RT-0333, INRIA. 2007, pp.12. 〈inria-00140853v2〉



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