Abstract : Despite significant efforts to achieve reliable grid middlewares, grid infrastructures still encounter important difficulties to implement the promise of ubiquitous, seamless and transparent computing. Identified causes are numerous, such as the complexity of middleware stacks, dependence to many distributed resources, heterogeneity of hardware and software operated or incompatibilities between software components declared as interoperable. Based on failures that occurred during a large data challenge run on a grid dedicated to neuroscience, we identify scenarios that can be handled through autonomic management associated to the grid middleware. We also outline a flexible self-adaptive framework that aims at using model-driven development to facilitate the engineering, integration and reuse of MAPE-K loops in large scale distributed systems.
Type de document :
Communication dans un congrès
Workshop on Grids Meet Autonomic Computing, Jun 2010, Washington, DC, United States. pp.1-10, 2010
https://hal.archives-ouvertes.fr/hal-00683109
Contributeur : Johan Montagnat <>
Soumis le : mardi 27 mars 2012 - 17:24:46
Dernière modification le : mardi 28 octobre 2014 - 18:42:14
Document(s) archivé(s) le : lundi 26 novembre 2012 - 12:21:22
Philippe Collet, Filip Krikava, Johan Montagnat, Mireille Blay-Fornarino, David Manset. Issues and Scenarios for Self-Managing Grid Middleware. Workshop on Grids Meet Autonomic Computing, Jun 2010, Washington, DC, United States. pp.1-10, 2010. <hal-00683109>
