Pervasive and Mobile Computing
Mental models of ambient systems: a modular research framework
CONTEXT'11 Proceedings of the 7th international and interdisciplinary conference on Modeling and using context
X316 security toolbox for new generation of certificate
TrustBus'07 Proceedings of the 4th international conference on Trust, Privacy and Security in Digital Business
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A growing interest for pervasive applications and the concern that users should not be disturbed by such services while they are on their regular duty have introduced several new challenges. The behavior of these applications should depend not only on their internal state and user interactions but also on contexts sensed during their execution. In this work, we propose a collaborative context-aware service platform (CoCA). The platform is data independent and can be used for context-aware application development in pervasive computing. It performs reasoning and decisions based on context data and domain based policies and semantics. Such data is organized into generic context management model (GCoM). The platform also introduces a neighborhood collaboration mechanism to facilitate peer collaboration between the pervasive devices in order to share their resources. We have developed an initial prototype of the platform. Our preliminary test on the prototype shows that the platform is a promising data independent development environment for pervasive context-aware applications.