The GREEN-NET framework: Energy efficiency in large scale distributed systems

Georges Da-Costa 1 Marcos Dias de Assuncao 2, 3 Jean-Patrick Gelas 2, 3 Yiannis Georgiou 4 Laurent Lefèvre 2, 3 Anne-Cécile Orgerie 2, 3 Jean-Marc Pierson 1 Olivier Richard 4 Kamal Sharma 5
1 IRIT - Institut de recherche en informatique de Toulouse
2 LIP - Laboratoire de l'Informatique du Parallélisme
3 RESO - Protocols and softwares for very high-performance network
Inria Grenoble - Rhône-Alpes, LIP - Laboratoire de l'Informatique du Parallélisme
4 MESCAL - Middleware efficiently scalable
Inria Grenoble - Rhône-Alpes, LIG - Laboratoire d'Informatique de Grenoble
5 IIT - Indian Institute of Technology [Kanpur]
Abstract : The question of energy savings has been a matter of concern since a long time in the mobile distributed systems and battery-constrained systems. However, for large-scale non-mobile distributed systems, which nowadays reach impressive sizes, the energy dimension (electrical consumption) just starts to be taken into account. In this paper, we present the GREEN-NET1 framework which is based on 3 main components: an ON/OFF model based on an Energy Aware Resource Infrastructure (EARI), an adapted Resource Management System (OAR) for energy efficiency and a trust delegation component to assume network presence of sleeping nodes.
Type de document :
Communication dans un congrès
HPPAC Workshop - Proceedings of the 2009 IEEE International Symposium on Parallel & Distributed Processing, May 2009, Rome, Italy. pp.95-104, 2010
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https://hal.inria.fr/hal-00795243
Contributeur : Laurent Lefèvre <>
Soumis le : mercredi 27 février 2013 - 16:14:01
Dernière modification le : samedi 21 avril 2018 - 01:27:09

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Georges Da-Costa, Marcos Dias de Assuncao, Jean-Patrick Gelas, Yiannis Georgiou, Laurent Lefèvre, et al.. The GREEN-NET framework: Energy efficiency in large scale distributed systems. HPPAC Workshop - Proceedings of the 2009 IEEE International Symposium on Parallel & Distributed Processing, May 2009, Rome, Italy. pp.95-104, 2010. 〈hal-00795243〉

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