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Canevas de programmation pour gérer l'héterogénéité et la consommation d'énergie des mobiles dans un environnement ubiquitaire

Authors: Guan, Hongyu;

Canevas de programmation pour gérer l'héterogénéité et la consommation d'énergie des mobiles dans un environnement ubiquitaire

Abstract

L'hétérogénéité des objets communicants et la consommation d'énergie sont deux considérations fondamentales pour les environnements informatiques ubiquitaires. Dans cette thèse, nous présentons notre approche pour gérer l'hétérogénéité et pour économiser l'énergie via des canevas de programmation dédiés. Pour gérer l'hétérogénéité, nous proposons une méthodologie et un support de programmation qui visent à faire communiquer les différents objets communicants de l'environnement ubiquitaire, et ce, en utilisant le protocole SIP considéré alors comme un bus de communication universel. Nous avons intégré ce bus SIP dans les canevas de programmation générés à partir des descriptions d'applications d'informatique ubiquitaire, écrites dans le langage DiaSpec. Concernant la consommation d'énergie, nous proposons une méthodologie qui utilise les techniques d'offloading et de compression de données pour minimiser la consommation d'énergie des applications mobiles. Nous avons ainsi construit une stratégie d'aide à la conception au travers d'un outil qui permet de déterminer le meilleur mode d'exécution pour une tâche donnée. Nous proposons l'intégration de cette stratégie dans le langage de description DiaSpec.

Country
France
Keywords

Langage Dédié, Compression de données, INFO_IU] Informatique/Informatique ubiquitaire [[INFO], Architecture Description Language, Applications mobiles, Energy consumption, [INFO.INFO-IU] Computer Science/Ubiquitous Computing, [INFO.INFO-IU]Computer Science [cs]/Ubiquitous Computing, Hétérogénéité, Data compression, SIP, Domain-Specific Language, INFO_IU] Computer Science/Ubiquitous Computing [[INFO], Calcul déporté, Heterogeneity, Consommation d'énergie, Mobile application Computation offloading, Architecture Logicielle

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Related to Research communities
Energy Research