Automatic Inference of Energy Models for Peripheral Components in Embedded Systems

Cherifi, Nadir; Vantroys, Thomas; Boé, Alexandre; Hérault, Colombe; Grimaud, Gilles

Document type :

Communication dans un congrès avec actes

Title :

Automatic Inference of Energy Models for Peripheral Components in Embedded Systems

Author(s) :

Cherifi, Nadir [Auteur]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Extra Small Extra Safe [2XS]
Institut de Recherche sur les Composants logiciels et matériels pour l'Information et la Communication Avancé - USR 3380 [IRCICA]
Atos Worldline
Vantroys, Thomas [Auteur]

Institut de Recherche sur les Composants logiciels et matériels pour l'Information et la Communication Avancé - USR 3380 [IRCICA]
Extra Small Extra Safe [2XS]
Centre de Recherche en Informatique, Signal et Automatique de Lille - UMR 9189 [CRIStAL]
Boé, Alexandre [Auteur]
Institut de Recherche sur les Composants logiciels et matériels pour l'Information et la Communication Avancé - USR 3380 [IRCICA]
Institut d’Électronique, de Microélectronique et de Nanotechnologie - UMR 8520 [IEMN]
Hérault, Colombe [Auteur]
Atos Worldline
Grimaud, Gilles [Auteur]

Conference title :

FiCloud 2017 : The 5th International Conference on Future Internet of Things and Cloud

City :

Prague

Country :

République tchèque

Start date of the conference :

2017-08-21

Publication date :

2017-08

HAL domain(s) :

Informatique [cs]

English abstract : [en]

Surrounding autonomous embedded devices are in a constant expansion. The advent and the rise of Internet of Things (IoT) enable these objects to take a giant step forward, especially regarding their large scale deployment ...
Show more >Surrounding autonomous embedded devices are in a constant expansion. The advent and the rise of Internet of Things (IoT) enable these objects to take a giant step forward, especially regarding their large scale deployment in real-world applications of the everyday life. A significant part of these objects are battery-powered and energy-dependent. Thus, energy is a critical resource which greatly complicates the development of the embedded software. By decomposing the energy consumption of a battery-powered IoT device, we can see that peripheral components are the major contributors among the overall consumption. Indeed, these components are exploited and repeatedly used by the object to interact and communicate with its surrounding environment during all the application lifetime. Acquire the expertise to handle accurately, during the development stage, the behaviour of every on-board peripheral component is a big challenge to improve the development of IoT embedded applications. To guide the developer in this task, we propose an automated inference procedure of energy models for peripheral components. An accurate automata-based model of the energy consumption can be generated, with only little efforts from the developer, based on real runtime measurements, providing precise energy figures. The proposed process is focused on a lightweight code generation step and simple analyses of the energy output traces, allowing a quick regeneration of the models in the case of a peripheral component modification. We show the potentials of the proposed procedure by real experiments on real peripherals. The obtained results are satisfactory, and we believe that our proposition is able to enhance the embedded development in an energy-constrained environment.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

Collections :

Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL

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https://hal.inria.fr/hal-01599169/document
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