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Model-Driven Architecture for Self-Adaptive Context-Aware Message Routing in Pervasive Environments

Authors:
Nachoua Guizani
Jocelyne Fayn

Keywords: context aware systems; adaptive system; ecosystem; message routing policy; Ambient Intelligence

Abstract:
Ensuring suitable message transmission Quality of Service (QoS) still remains among one of the most crucial requirements, especially in case of emergency. A message routing policy application should face the challenge of dynamic source and target context changes, such as resources availability and environmental conditions, and adapt its behavior and decisions accordingly. In this paper, we propose a context-aware model and a functional architecture aimed to steer an intelligent, personalized and adaptive message routing policy. Our objective is to enhance at the operational level message transmission QoS in terms of delivering the right message to the right recipient with the right delay requirements, by taking into account message, sender and recipient ecosystems. In the proposed architecture, we highlight how a message routing policy can reason about context information and adapt autonomously its behavior in response to unpredictable events and context changes in pervasive environments. This architecture is based on ambient intelligence and complies with different scenarios. The relevance of our approach is demonstrated by a use-case in the eHealth domain.

Pages: 44 to 50

Copyright: Copyright (c) IARIA, 2015

Publication date: May 24, 2015

Published in: conference

ISSN: 2308-3913

ISBN: 978-1-61208-405-3

Location: Rome, Italy

Dates: from May 24, 2015 to May 29, 2015