Energy-driven Consolidation in Digital Home

Rémi Druilhe 1, 2 Matthieu Anne 1 Jacques Pulou 1 Laurence Duchien 2, 3, 4 Lionel Seinturier 2, 3, 5
1 Orange Labs [Grenoble]
2 ADAM - Adaptive Distributed Applications and Middleware
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
3 LIFL - Laboratoire d'Informatique Fondamentale de Lille
4 Université de Lille, Sciences et Technologies
5 IUF - Institut Universitaire de France
Abstract : As our society becomes more and more digital, the corresponding demand for electric energy is increasing. Despite the power efficient design of devices, this rising trend of energy consumption does not weaken because of more and more devices used in our daily life. Collaboration strategies between devices can reduce their overall electrical consumption. Consolidation - i.e., migrating tasks among devices to place into low power state or to switch off a maximum of unused devices - is a mean of optimizing the consumption of a group of devices. So far, consolidation is mainly used in datacenters. Here, we propose a model to extend this approach to Digital Home. This model takes into account properties, such as the unforeseeable appearance of devices or restrictions due to task nature. Its implementation in a Digital Home environment saves around 25% of the energy consumption in a scenario based on the daily life of a family of four persons.
Keywords : Energy Digital Home Consolidation Quality of Service Event-processing
Type de document :
Communication dans un congrès
28th ACM Symposium on Applied Computing (SAC'13), 1st Software Engineering Aspects of Green Computing (SEAGC) Track, Mar 2013, Coimbra, Portugal. pp.1157-1162, 2013
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Soumis le : vendredi 7 décembre 2012 - 18:01:38
Dernière modification le : dimanche 20 octobre 2013 - 11:07:11
Document(s) archivé(s) le : samedi 17 décembre 2016 - 22:34:35

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Rémi Druilhe, Matthieu Anne, Jacques Pulou, Laurence Duchien, Lionel Seinturier. Energy-driven Consolidation in Digital Home. 28th ACM Symposium on Applied Computing (SAC'13), 1st Software Engineering Aspects of Green Computing (SEAGC) Track, Mar 2013, Coimbra, Portugal. pp.1157-1162, 2013. <hal-00762626>

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