Managing the follow-me semantics to build large-scale pervasive applications
MPAC '05 Proceedings of the 3rd international workshop on Middleware for pervasive and ad-hoc computing
Convenience and TAM in a ubiquitous computing environment: The case of wireless LAN
Electronic Commerce Research and Applications
Proteus: A Semantic Context-Aware Adaptive Policy Model
POLICY '07 Proceedings of the Eighth IEEE International Workshop on Policies for Distributed Systems and Networks
Toward a General Software Infrastructure for Ubiquitous Computing
IEEE Pervasive Computing
Data-centric middleware for context-aware pervasive computing
Pervasive and Mobile Computing
A survey on context-aware systems
International Journal of Ad Hoc and Ubiquitous Computing
CARISMA: Context-Aware Reflective mIddleware System for Mobile Applications
IEEE Transactions on Software Engineering
Semantics-based context-aware dynamic service composition
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
A comprehensive solution for application-level adaptation
Software—Practice & Experience
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Pervasive and Mobile Computing
A Model of Autonomous Control of the Adaptation to the Context in UbiComp
WSCAD-SCC '10 Proceedings of the 2010 11th Symposium on Computing Systems
Towards a distributed architecture for context-aware mobile applications in UbiComp
Proceedings of the 19th Brazilian symposium on Multimedia and the web
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In this paper we present a view of EXEHDA middleware and a novel service created for dynamic adaptation. EXEHDA is service-oriented, adaptive and was conceived to support the execution of ubiquitous applications. The main concept in the proposed design for the middleware and for the application is context awareness expressed in an adaptive behavior. The middleware manages and implements the follow-me semantics for ubiquitous applications. This is also a key to provide functionality adapted to the constraints and unpredictability of the large-scale environment. EXEHDA provides services for distributed adaptive execution, context recognition, ubiquitous storage and access, and anonymous and asynchronous communications. To evaluate the proposed service we developed a case study, implementing an application in medical area. Analyzing the results we can see that the users found the application easy to use and usefulness for health workers at a hospital.