Abstract
The grid environment presents numerous opportunities for business applications as well as for scientific ones. Nevertheless the current trends seem to lead to several independent specialized grids in opposition to the early visions of one generic world wide grid. In such a cross-grid context, the environment might be harder to manipulate whereas more decisions must be handled from user-side. Our proposal is a distance-based decision-making support designed to be usable, adaptable and accurate. Our main contribution is to ensure the profitability of classical monitoring solutions by improving their usability. Our approach is illustrated and validated with experiments in a real grid environment.
This work is supported by the French ministry of research within the ACI “masse de données” (Grid for Geno-Medicine Project).
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Gossa, J., Pierson, JM., Brunie, L. (2007). Adaptable Distance-Based Decision-Making Support in Dynamic Cross-Grid Environment. In: Kermarrec, AM., Bougé, L., Priol, T. (eds) Euro-Par 2007 Parallel Processing. Euro-Par 2007. Lecture Notes in Computer Science, vol 4641. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74466-5_47
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DOI: https://doi.org/10.1007/978-3-540-74466-5_47
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