An Optimization Process for Adaptation Space Exploration of Service-oriented Applications: the Stock Trading System case study

We propose an automatic optimization process for adaptation space exploration of service-oriented applications based on trade-offs between functional and extra-functional requirements. The optimization method combines both metaheuristic search techniques and functional/extra-functional patterns (i.e., architectural design patterns and tactics). Moreover, the proposed methodology relies also on the standard Service oriented Component Architecture(SCA) for heterogeneous service assembly and related tools/running infrastructures in order to process architectural models (of the application to adapt) that are directly tight to the real assembled components implementations and their deployment. As a proof-of-concepts, this report provides an example of instantiation of the proposed process together with an experimentation on a stock trading application.