Abstract : The Service Oriented Computing Paradigm proposes the construction of applications by integrating pre-existent services. Since a large number of services may be available in the Cloud, the selection of services is a crucial task in the definition of a composition. The selected services should attend the requirements of the compound application, by considering both functional and non-functional requirements (including quality and preference constraints). As the number of available services increases, the automation of the selection task becomes desirable. We propose a method for the refinement of service compositions that takes the abstract specification of a composition, the definition of concrete services and user preferences. Our algorithm produces a list of refinements in preference order. Experiments show that our method can be used in practice.
Type de document :
Communication dans un congrès
CLOSER (4th International Conference on Cloud Computing and Services Science), Apr 2014, Barcelona, Spain. 8 p., 2014, Proceedings of CLOSER 2014
https://hal.inria.fr/hal-00978912
Contributeur : Mirian Halfeld Ferrari
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Soumis le : lundi 14 avril 2014 - 22:44:39
Dernière modification le : mercredi 16 mai 2018 - 12:14:01
Cheikh Ba, Umberto Costa, Mirian Halfeld Ferrari, Rémy Ferre, Martin A. Musicante, et al.. Preference-Driven Refinement of Service Compositions. CLOSER (4th International Conference on Cloud Computing and Services Science), Apr 2014, Barcelona, Spain. 8 p., 2014, Proceedings of CLOSER 2014. 〈hal-00978912〉
