Self-expression and dynamic attribute-based ensembles in SCEL

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Abstract

In the field of distributed autonomous computing the current trend is to develop cooperating computational entities enabled with enhanced self-* properties. The expression self-* indicates the possibility of a component inside an ensemble, i.e. a set of collaborative autonomic components, to self organize, heal (repair), optimize and configure with little or no human interaction. We focus on a self-* property called self-expression, defined as the ability to deploy run-time changes of the coordination pattern of the observed ensemble; the goal of the ensemble is to achieve adaptivity by meeting functional and non-functional requirements when specific tasks have to be completed. The purpose of this paper is to rigorously present the mechanisms involved whenever a change in the coordination pattern is needed, and the interactions that take place. To this aim, we use SCEL (Software Component Ensemble Language), a formal language for describing autonomic components and their interactions, featuring a highly dynamic and flexible way to form ensembles based on components’ attributes.

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Cabri, G., Capodieci, N., Cesari, L., De Nicola, R., Pugliese, R., Tiezzi, F., & Zambonelli, F. (2014). Self-expression and dynamic attribute-based ensembles in SCEL. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8802, pp. 147–163). Springer Verlag. https://doi.org/10.1007/978-3-662-45234-9_11

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