CompAA : A Self-Adaptable Component Model for Open Systems

Lacouture, Jérôme; Aniorte, Philippe

doi:10.1109/ecbs.2008.36

Cited by 5 publications

(2 citation statements)

References 14 publications

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“…We integrate the variability extending Ugatze component model interface with new specification points (Lacouture & Aniorté, 2008). We call this kind of specification points: adaptation points.…”

Section: Adaptable Distributed Components Toward An Adaptable Compone...mentioning

confidence: 99%

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

Lacouture

Aniorte

2011

International Journal of Adaptive, Resilient and Autonomic Systems

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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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Section: Adaptable Distributed Components Toward An Adaptable Compone...mentioning

confidence: 99%

“…In Lacouture and Aniorté (2008), we give a first idea of how to specify a process managed by agents allowing self-adapting CompAA specified components. The originality of our approach consists in its mixed nature.…”

Section: Self-adaptable Processmentioning

confidence: 99%

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

Lacouture

Aniorte

2011

International Journal of Adaptive, Resilient and Autonomic Systems

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Semantic Driven Self-Adaptation of Communications Applied to ERCMS

Rodriguez

Lacouture

Drira

2010

2010 24th IEEE International Conference on Advanced Information Networking and Applications

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Self-Adaptation of Semantic Services Based on a Component/Agent Approach: Application to e-Training

Lacouture

Aniorte

2009

2009 International Conference on Adaptive and Intelligent Systems

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In the context of distributed and open systems, the dynamic evolution of the distributed entities (or services) and their adaptation is one of the main prevailing challenges. In this paper, our aim is to show that is possible to automate (at least partially) the discovery, the selection and the adaptation of components, on the one hand associating a semantic description based on functional and non-functional properties to components and on the other hand, delegating to software agents the interpretation of components decriptions. We focus on the use of semantic, i.e. the use of ontologies, to provide a common interpretable support to share, to find, and to adapt relevant available services. The CompAA model is the result of our propositions and an experimentation in the area of training gives us a guideline to illustrate and validate our contributions.

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CompAA : A Self-Adaptable Component Model for Open Systems

Cited by 5 publications

References 14 publications

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

Semantic Driven Self-Adaptation of Communications Applied to ERCMS

Self-Adaptation of Semantic Services Based on a Component/Agent Approach: Application to e-Training

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