Adaptable distance-based decision-making support in dynamic cross-grid environment

Authors:
Julien Gossa;Jean-Marc Pierson;Lionel Brunie
Affiliations:
LIRIS INSA-Lyon, UMR5205, France;IRIT University Paul Sabatier UMR5505 F-31062, France;LIRIS INSA-Lyon, UMR5205, France
Venue:
Euro-Par'07 Proceedings of the 13th international Euro-Par conference on Parallel Processing
Year:
2007

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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.