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L'Efficience Énergétique des Services dans les Systèmes Répartis Hétérogènes et Dynamiques : Application à la Maison Numérique

Rémi Druilhe 1, 2, 3 
Abstract : The home is a more and more interconnected environment. This proliferation of computer devices and associated services increases the energy consumption of the home network. To limit this tendency, consumer electronic devices control their own energy consumption, independently from each other. Distributed environments offer new opportunities to manage the energy consumption of a set of devices. This work proposes to set an intelligent coordination between devices in order to limit the energy consumption of the set of devices while providing the same services. Our approach consists, on one hand, in moving software components from one device to another in order to maximize the energy efficiency and, on the other hand, put into low power state unused devices. However, the migrations are constrained by both the environment, i.e., available hardware resources, and the needs from software components, i.e., required hardware resources, user presence. To design such a system, it is necessary to consider the inherent properties of the digital home such as the heterogeneity, the dynamicity and the quality of service. Heterogeneity needs a model of each device and each service according to different criterion, e.g., hardware resources, user presence. Dynamicity needs to modify the distribution of the software components when a relevant event occurs, e.g., appearance of a device, in order to conserve energy efficiency. Finally, less energy consuming solutions must not impact the quality of service, e.g., satisfying the required hardware resources of the software components. We propose to model those properties. This model is then considered by an autonomic decision-making system. On the observation of relevant events, the system takes the decision to modify the distribution of the software components on the devices in order to reach the energy efficiency goal while satisfying to the quality of service. The implementation of the decision-making system is embodied through an energy efficient architecture. The decision-making system is deemed to be a full service. It is designed as any others services deployed in the environment, and is able to move from one device to another to execute itself on the most appropriate one, considering the context. The approach is validated through its implementation called HomeNap et using scenarios from the common life. Results show energetic gains. Results also show that those gains depend on the habits of the user in the digital home. Finally, those gains increase when the number of devices and services grows, which is the current observed tendency.
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Contributor : Rémi Druilhe Connect in order to contact the contributor
Submitted on : Saturday, December 7, 2013 - 11:32:55 AM
Last modification on : Thursday, February 3, 2022 - 11:14:48 AM
Long-term archiving on: : Saturday, April 8, 2017 - 5:26:16 AM


  • HAL Id : tel-00915321, version 1



Rémi Druilhe. L'Efficience Énergétique des Services dans les Systèmes Répartis Hétérogènes et Dynamiques : Application à la Maison Numérique. Modélisation et simulation. Université des Sciences et Technologie de Lille - Lille I, 2013. Français. ⟨NNT : ⟩. ⟨tel-00915321⟩



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