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Modeling context aware features for pervasive computing

Mcheick Hamid. (2014). Modeling context aware features for pervasive computing. Procedia Computer Science, 37, p. 135-142.

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URL officielle: http://dx.doi.org/doi:10.1016/j.procs.2014.08.022

Résumé

For more than two decades, research in the development of context-aware applications has gained significant attention, in which the context aware should be taken into account to adapt them to the requirements of the environment and users. However, advances in application models to support the development of these systems have not kept up. Researchers have been building and deploying context-aware applications with their behaviors often tailored to specific problem domains, by designing the anticipated context and the desired application behavior. Motivated by the raised facts, this paper presents a context aware model with ability to interact and to adapt smartly and dynamically to environment and needs of users. We are revisiting the context life cycle, especially the representation and the modeling of context features, regarding the relations within these features and the systems functionalities. Different kinds of components adaptation are described and scenarios are presented to illustrate these adaptations. As a proof of concept, we have simulated the context model in health care systems and show the results.

Type de document:Article publié dans une revue avec comité d'évaluation
Volume:37
Pages:p. 135-142
Version évaluée par les pairs:Oui
Date:2014
Sujets:Sciences naturelles et génie > Sciences mathématiques > Informatique
Département, module, service et unité de recherche:Départements et modules > Département d'informatique et de mathématique
Mots-clés:pervasive and ubiquitous computing, context aware applications, software adaptation
Informations complémentaires:Hamid Mcheick. Modeling Context Aware Features for Pervasive Computing, The 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014), Journal title: Procedia Computer Science, Procedia Computer Science (2014), pp. 135-142 DOI information: 10.1016/j.procs.2014.08.022. Elsevier, September 22-25, Halifax, Canada, 2014.
Déposé le:08 nov. 2016 02:04
Dernière modification:08 nov. 2016 02:04
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