At Your Service: Service-Oriented Computing from an EU by Edited by Anne-Marie Sassen, Edited by Paolo Traverso,

By Edited by Anne-Marie Sassen, Edited by Paolo Traverso, Edited by Arian Zwegers Edited by Elisabetta Di Nitto

Study effects from industry-academic collaborative tasks in service-oriented computing describe functional, achieveable recommendations.

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In the BIONETS environment, where there is vast number of services available, the manual ser- BIONETS 29 vice discovery and installation procedures might not be feasible. Therefore, services in BIONETS need to be easily/automatically discovered. It could even be possible that the service finds the user by using the user’s contextual information and (semi)automatically deploying itself to the user’s device. It could also be possible that the service autonomously emerges based on the data the user has, the features of the environment, and the past history of interactions with other networking and computing entities.

Dynamics of Complex Systems. : Addison-Wesley. , A. Bernstein, H. Boley, B. Grosof, M. Gruninger, R. Hull, M. Kifer, D. Martin, S. McIlraith, D. McGuinness, J. Su, and S. Tabet. 2005. Semantic Web Services Ontology (SWSO). 0/swso/. BIONETS Project Consortium. 2006. 1, Application Scenario Analysis, Network Architecture Requirements and High-level Specifications. 1, August. pdf. BIONETS Project Consortium. 2007. 1, Requirements and Architectural Principles: Architecture, Scenarios, and Requirements Refinements.

2003). The ability to self-adapt the various parameters encompassed in such schemes can be introduced by employing distributed evolutionary mechanisms inspired by the genetic algorithms field (Alouf et al. 2007). The relaying-based strategies outlined above target the scalability issues at the U-nodes level. In pervasive computing/communication environments, however, the number of tiny devices with sensing capabilities is expected to be some order of magnitude higher than that of user nodes. Thus, suitable techniques for limiting the di¤usion of the data generated by T-nodes are a primary need to avoid network congestion and collapse.

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