The grid observatory

Authors:
Charles Loomis
Affiliations:
CNRS , Orsay, France
Venue:
GMAC '09 Proceedings of the 6th international conference industry session on Grids meets autonomic computing
Year:
2009

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Abstract

Scientific communities worldwide have set up massive grids that manage several tens of thousands of CPUs and several PetaBytes of storage space. The control and maintenance of these complex systems remain a significant operational challenge. Application developers need synthetic characterizations of the grid activity and the grid applications for predicting and optimizing application performance. Grid models are required for dimensioning, capacity planning, and middleware design. The goal of the Grid Observatory project (GO) is to contribute to an experimental theory of large grid systems by integrating the collection of data on the behavior of the EGEE grid and users, the development of models, and an ontology for the domain knowledge. Autonomic computing is highly relevant to grid systems, especially at a time where production grids have to move to sustainable infrastructures, with implications on the volume and structure of the manpower dedicated to the day-to-day operations. The specific Autonomic Computing goals of the GO are Self-Optimization, Self-Healing, and to some extent Self-Configuration.