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. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Gossa, J., Pierson, J. M., & Brunie, L. (2007). Adaptable distance-based decision-making support in dynamic cross-grid environment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4641 LNCS, pp. 437–446). Springer Verlag. https://doi.org/10.1007/978-3-540-74466-5_47
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