Towards dynamic adaptability support for Master-Worker Paradigm component based applications
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 paper studies how to transparently introduce adaptability in our model for master-worker applications, what impact it has on the model, and what requirements it expects from the adaptability framework.
KeywordsRequest Queue Adaptability Framework Resource Infrastructure Pattern Implementation Common Component Architecture
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- M. Aldinucci, F. Andr é , J. Buisson, S. Campa, M. Coppola, M. Danelutto, and C. Zoccolo. An abstract schema modelling adaptivity management. In Sergei Gorlatch and Marco Danelutto, editors, Integrated Research in GRID Computing, CoreGRID. Springer, 2007.Google Scholar
- M. Aldinucci, M. Danelutto, and M. Vanneschi. Autonomic qos in assist grid-aware components. In 14th Euromicro International Conference on Parallel, Distributed and Network-based Processing, February 2006.Google Scholar
- M. Aldinucci, A. Petrocelli, E. Pistoletti, M. Torquati, M. Vanneschi, L. Veraldi, and C. Zoccolo. Dynamic reconfiguration of grid-aware applications in assist. In Jos é C. Cunha and Pedro D. Medeiros, editors, Proceedings of the 11th International Euro-Par Conference, volume 3648 of Lecture Notes in Computer Science, pages 771-781, Lisbon, Portugal, September 2005. Springer.Google Scholar
- G. Antoniu, H. L. Bouziane, M. Jan, C. P érez, and T. Priol. Combining data sharing with the master-worker paradigm in the common component architecture. In The 15th IEEE International Symposium on High Performance Distributed Computing (HPDC), Paris, France, June 2006.Google Scholar
- H. L. Bouziane, C. P érez, and T. Priol. Modeling and executing master-worker applications in component models. In 11th International Workshop on High-Level Parallel Programming Models and Supportive Environments (HIPS), Rhodes Island, Greece, April 2006.Google Scholar
- J. Buisson, F. Andr é , and J.-L. Pazat. Afpac: Enforcing consistency during the adaptation of a parallel component. Scalable Computing: Practice and Experience, 7(3):83-95, September 2006. electronic journal (http://www.scpe.org/).
- E. Caron, F. Desprez, F. Lombard, J.M. Nicod, M. Quinson, and F. Suter. A Scalable Approach to Network Enabled Servers. In B. Monien and R. Feldmann, editors, Proceedings of the 8th International EuroPar Conference, volume 2400 of Lecture Notes in Computer Science, pages 907-910, Paderborn, Germany, August 2002. Springer-Verlag.Google Scholar
- D. Chefrour. Plate-forme de composants logiciels pour la coordination des adaptations multiples en environnement dynamique. PhD thesis, Universit é Rennes 1, November 2005.Google Scholar
- D. Chefrour and F. Andr é . D éveloppement d’applications en environnements mobiles à l’aide du mod èle de composant adaptatif ACEEL. In Langages et Mod èles à Objets. Actes publi és dans la revue STI, volume 9 of s érie L’objet, Vanne, France, 2003.Google Scholar
- Jess, the rule engine for the java platform. http://herzberg.ca.sandia.gov/jess/.
- O. Layaida and D. Hagimont. Designing self-adaptive multimedia applications through hierarchical reconfiguration. In L. Kutvonen and N. Alonistioti, editors, DAIS’05, volume 3543 of LNCS, pages 95-107. Springer, 2005.Google Scholar