A Model Driven Approach to the Analysis of Quality Scenarios within Self-Adaptable SOA Systems

Authors:
Boris Perez;Dario Correal
Affiliations:
Department of Systems and Computing Engineering, University of Los Andes, Bogotá, Colombia;Department of Systems and Computing Engineering, University of Los Andes, Bogotá, Colombia
Venue:
Electronic Notes in Theoretical Computer Science (ENTCS)
Year:
2011

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Abstract

Self-adaptive behavior is a feature which architects needs to include in their systems in order to improve its reliability. However, despite several ways to get it, it is still hard to implement a self-adaptive system focused on non-functional properties. Difficulties to express quality attributes in the system without combining business logic with the self-adaptation logic and to include new services on runtime are some of them. In this paper we propose a model-driven analysis approach to offer a mechanism which allow the desired quality requirements to be expressed in a simple and non-intrusive manner, to find the best services available in a system and, to offer a code generation mechanism which takes the models created under the first objective and generates the necessary code for autonomously monitoring and adapting a SOA system.