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A Flexible Context Stabilization Approach for Self-Adaptive Application

Russel Nzekwa 1 Romain Rouvoy 1 Lionel Seinturier 1, 2
1 ADAM - Adaptive Distributed Applications and Middleware
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe
Abstract : Pervasive applications are characterized by variations in their context of execution. Their correct behavior requires continuous adaptations, accordingly to changes observed in their environment. Some of the existing approaches tackle this problem by adding stabilization mechanisms on the decision making layer. In most cases it remains costly for applications to trigger decision making procedures, specially when application changes frequency is potentially high. We believe that, to provide more flexible and efficient context-aware applications, stabilization issues should be addressed separately from decision making issues. In this paper, we present a flexible stabilization approach as an elegant solution to that problem.
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https://hal.inria.fr/inria-00449850
Contributor : Russel Nzekwa <>
Submitted on : Friday, February 19, 2010 - 11:46:59 AM
Last modification on : Wednesday, December 11, 2019 - 2:48:04 PM
Long-term archiving on: : Thursday, September 23, 2010 - 11:43:50 AM

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Russel Nzekwa, Romain Rouvoy, Lionel Seinturier. A Flexible Context Stabilization Approach for Self-Adaptive Application. COMOREA - (PERCOM), Mar 2010, Mannheim, Germany. pp.7-12. ⟨inria-00449850v2⟩

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