Multi-Facet Approach to Reduce Energy Consumption in Clouds and Grids: The GREEN-NET Framework

Georges Da Costa 1 Marcos Dias de Assuncao 2 Jean-Patrick Gelas 2 Yiannis Georgiou 3 Laurent Lefèvre 2 Anne-Cécile Orgerie 4, 5, 6 Jean-Marc Pierson 1 Olivier Richard 7 Amal Sayah 1
2 RESO - Protocols and softwares for very high-performance network
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
6 RESO - Protocols and softwares for very high-performance network
Inria Grenoble - Rhône-Alpes, ENS Lyon - École normale supérieure - Lyon, CNRS - Centre National de la Recherche Scientifique : UMR5668
7 MESCAL - Middleware efficiently scalable
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
Abstract : This paper presents an integrated framework for energy savings in large scale distributed systems such as grids and clouds. The framework comprises tools and mechanisms: to measure and log data about the energy consumed by resources; to present this information to users; to involve the users in decisions to reduce the energy consumed by their applications; and to enforce energy reduction decisions automatically while respecting the users' requirements and achieving the resource availability demanded by current services. Experiments demonstrate the energy savings achieved by the proposed mechanisms and explore trade-offs between energy efficiency and performance degradation.
Type de document :
Communication dans un congrès
International Conference on Energy-Efficient Computing and Networking (e-Energy), Apr 2010, Passau, Germany. pp.95-104, 2010, 〈10.1145/1791314.1791329〉
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https://hal.inria.fr/ensl-00517185
Contributeur : Anne-Cécile Orgerie <>
Soumis le : lundi 13 septembre 2010 - 17:34:30
Dernière modification le : mardi 16 janvier 2018 - 15:46:18

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Georges Da Costa, Marcos Dias de Assuncao, Jean-Patrick Gelas, Yiannis Georgiou, Laurent Lefèvre, et al.. Multi-Facet Approach to Reduce Energy Consumption in Clouds and Grids: The GREEN-NET Framework. International Conference on Energy-Efficient Computing and Networking (e-Energy), Apr 2010, Passau, Germany. pp.95-104, 2010, 〈10.1145/1791314.1791329〉. 〈ensl-00517185〉

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