PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Grid Monitoring by Online Clustering
Xiangliang Zhang, Cyril Furtlehner, Michele Sebag and Cecile Germain-Renaud
In: Grid Monitoring by Online Clustering, 02-06 March 2008, Catania, Italy.

Abstract

The increase in grid resources and workload requires more and more administrators to monitor and operate them. The preliminary step for a more autonomic [1-2] grid is to create concise and meaningful descriptions of the complex processes at work in the interaction of e-science requirements and grid middleware. These descriptions provide online, high-level, and information-rich monitoring of EGEE status and can be exploited in dashboards. This work is part of the Grid Observatory cluster.

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EPrint Type:Conference or Workshop Item (Poster)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:4742
Deposited By:Xiangliang Zhang
Deposited On:24 March 2009

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