A model-based approach to context management in pervasive platforms

Colin Aygalinc 1 Eva Gerbert-Gaillard 1 German Vega 1 Philippe Lalanda 1 Stéphanie Chollet 2
1 LIG Laboratoire d'Informatique de Grenoble - ADELE
LIG - Laboratoire d'Informatique de Grenoble
2 CTSYS - Conception et Test de SYStèmes embarqués
LCIS - Laboratoire de Conception et d'Intégration des Systèmes
Abstract : Pervasive computing envisions environments where computers are blended into everyday objects in order to provide added-value services to people. This new form of computing gives rise to huge economical and societal expectations. However, pervasive applications raise major challenges in term of software engineering and remain hard to develop, deploy, execute and maintain. Context-awareness, in particular, is a salient and difficult property that must be met by pervasive applications. In this paper, we propose a service-oriented framework facilitating the design and execution of a context management module in pervasive platforms. Our approach is illustrated with a smart home example and implemented on top of iPOJO, the Service-Oriented Component Model of our pervasive platform iCasa.
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Colin Aygalinc, Eva Gerbert-Gaillard, German Vega, Philippe Lalanda, Stéphanie Chollet. A model-based approach to context management in pervasive platforms. 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom 2016), Mar 2016, Sydney, Australia. pp.258-264, ⟨10.1109/PERCOMW.2016.7457109⟩. ⟨hal-01370467⟩

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