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Self-Adaptable Discovery and Composition of Services Based on the Semantic CompAA Approach

Self-Adaptable Discovery and Composition of Services Based on the Semantic CompAA Approach

J. Lacouture, P. Aniorté
Copyright: © 2011 |Volume: 2 |Issue: 4 |Pages: 20
ISSN: 1947-9220|EISSN: 1947-9239|EISBN13: 9781613505342|DOI: 10.4018/jaras.2011100104
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MLA

Lacouture, J., and P. Aniorté. "Self-Adaptable Discovery and Composition of Services Based on the Semantic CompAA Approach." IJARAS vol.2, no.4 2011: pp.54-73. http://doi.org/10.4018/jaras.2011100104

APA

Lacouture, J. & Aniorté, P. (2011). Self-Adaptable Discovery and Composition of Services Based on the Semantic CompAA Approach. International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS), 2(4), 54-73. http://doi.org/10.4018/jaras.2011100104

Chicago

Lacouture, J., and P. Aniorté. "Self-Adaptable Discovery and Composition of Services Based on the Semantic CompAA Approach," International Journal of Adaptive, Resilient and Autonomic Systems (IJARAS) 2, no.4: 54-73. http://doi.org/10.4018/jaras.2011100104

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Abstract

With the next generation of distributed systems, applications become nomad, ubiquitous or ambient. It becomes challenging to dynamically maintain or update functionalities, or to preserve non-functional properties, like the extensibility of the system and the quality of service. This paper describes the CompAA component model. The main contribution introduces the variability concept with the specification of adaptation points integrated by a mixed component/agent approach. The result is the production of self-adaptable entities, including self-discovery and self-composition mechanisms. An experiment in the area of training, based on very scalable services (e-Portfolio), validates these contributions and provides an exemplification of CompAA mechanisms.

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