The Green Computing Observatory: a data curation approach for green IT

Cécile Germain-Renaud 1, 2 Frédéric Fürst 3 Michel Jouvin 4 Gilles Kassel 3 Julien Nauroy 1 Guillaume Philippon 4
1 TAO - Machine Learning and Optimisation
CNRS - Centre National de la Recherche Scientifique : UMR8623, Inria Saclay - Ile de France, UP11 - Université Paris-Sud - Paris 11, LRI - Laboratoire de Recherche en Informatique
Abstract : The first barrier to improved energy efficiency is the difficulty of collecting data on the energy consumption of individual components of data centers, and the lack of overall data collection. GCO collects monitoring data on energy consumption of a large computing center, and publish them through the Grid Observatory. These data include the detailed monitoring of the processors and motherboards, as well as the global site information, such as overall consumption and overall cooling. A second barrier is making the collected data usable. The difficulty is to make the data readily consistent and complete, as well as understandable for further exploitation. For this purpose, GCO opts for an ontological approach in order to rigorously define the semantics of the data (what is measured) and the context of their production (how are they acquired and/or calculated). The Green Computing Observatory (GCO) addresses the previous issues within the framework of a production infrastructure dedicated to e-science, providing a unique facility for the Computer Science and Engineering community. The overall goal is to create a full-fledged data curation process. This paper reports on the first achievements, specifically acquisition and ontology.
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Cécile Germain-Renaud, Frédéric Fürst, Michel Jouvin, Gilles Kassel, Julien Nauroy, et al.. The Green Computing Observatory: a data curation approach for green IT. International Conference on Cloud and Green Computing, Dec 2011, Sydney, Australia. ⟨inria-00632423⟩

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