Low response time context awareness through extensible parameter adaptation with ORCA |
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Authors: | Jean-Yves Tigli Stéphane Lavirotte Ga?tan Rey Vincent Hourdin Nicolas Ferry Christophe Vergoni Michel Riveill |
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Affiliation: | 1. Laboratoire I3S (Université de Nice - Sophia Antipolis/CNRS), 930 route des Colles, B.P. 145, 06903, Sophia-Antipolis Cedex, France 2. CSTB (Centre Scientifique et Technique du Batiment), 290 route des Lucioles, B.P. 209, 06904, Sophia-Antipolis Cedex, France 3. GFI Informatique, Emerald Square - Batiment 2, Avenue Evariste Galois, B.P. 199, 06904, Sophia Antipolis Cedex, France
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Abstract: | Ubiquitous computing applications or widespread robots interactions execute in unforeseen environments and need to adapt to changeful available services, user needs, and variations of the environment. Context-awareness ability addresses such a need, enabling, through adaptation rules, applications to react to the perceived dynamic variations. Responses to adaptation have to be quick enough to maximize the time during which the application is coherent with its environment. Adaptation rules, associating variations of the environment to application reactions, are usually established at design time. However, in unforeseen and partially anticipated environments, we claim that adaptation rules have to be dynamically extensible to match previously unexpected variations. Our approach enables rule composition and ensures a deterministic result. We propose to use parameter adaptation to quickly respond to environmental variations and dynamic compositional adaptation to provide extensibility to the parameter adaptation. To foster even lower response times, we internalize context-awareness processing and decision into the application. |
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