The 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014) Modeling Context Aware Features for Pervasive Computing Hamid Mcheick a aProfessor, 555 Boul De l'Universite, Chiucoutimi, G7H-2B1, Canada Abstract 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. © 2014 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Program Chairs of EUSPN-2014. Pervasive and Ubiquitous Computing; Context aware Applications; Software adaptation; Keywords: Introduction Computer is evolved in many steps starting from microprocessor and personal computer, to networks and communication to World Wide Web, to mobile-internet and so the social networking. Today, the computer is everywhere, connected to everything and embedded in every object. The advance in sensing technologies and the development of data extraction and management capabilities are providing more and more accurate information about the user and application runtime environments. These information provide a detailed view of the system and user context. In addition, market research has shown significant growth in the deployment of sophisticated sensors, generally embedded in faster, smaller and globally connected devices.
The 5th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN-2014) Modeling Context Aware Features for Pervasive Computing Hamid Mcheick a aProfessor, 555 Boul De l'Universite, Chiucoutimi, G7H-2B1, Canada Abstract 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. © 2014 The Authors. Published by Elsevier B.V. Peer-review under responsibility of the Program Chairs of EUSPN-2014. Keywords: Pervasive and Ubiquitous Computing; Context aware Applications; Software adaptation; Introduction Computer is evolved in many steps starting from microprocessor and personal computer, to networks and communication to World Wide Web, to mobile-internet and so the social networking. Today, the computer is everywhere, connected to everything and embedded in every object. The advance in sensing technologies and the development of data extraction and management capabilities are providing more and more accurate information about the user and application runtime environments. These information provide a detailed view of the system and user context. In addition, market research has shown significant growth in the deployment of sophisticated sensors, generally embedded in faster, smaller and globally connected devices.
euspn2014-ContextModelAdaptation-CameraReady.docx