Title: Experiments on service composition refinement on the basis of preference-driven recommendation
Authors: Cheikh Ba; Thiago Cerqueira; Umberto Costa; Mirian Halfeld Ferrari; Martin A. Musicante; Sophie Robert
Addresses: LANI, Université Gaston Berger, BP 234, Saint-Louis, Sénégal ' Universidade Federal do Rio Grande do Norte, Natal, Brazil ' DIMAp, Universidade Federal do Rio Grande do Norte, Natal, Brazil ' Université d'Orléans, INSA Centre Val de Loire, LIFO EA 4022, FR-45067 Orléans, France ' DIMAp, Universidade Federal do Rio Grande do Norte, Natal, Brazil ' Université d'Orléans, INSA Centre Val de Loire, LIFO EA 4022, FR-45067 Orléans, France
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, service recommendation and selection are key problems. The paper proposes the automation of the selection task that takes the abstract specification of a composition, the definition of concrete services and the preferences obtained from a recommendation routine to produce a list of refinements in preference order. This paper presents three versions of our approach. They differ in implementation options or in the methods used to combine preferences. Experiment results are provided as a benchmark for ensuring the efficiency of our proposal in practice.
Keywords: service composition; abstract services; refinement; user preferences; service recommendations; recommender systems; service oriented computing; cloud computing; cloud services.
International Journal of Web and Grid Services, 2016 Vol.12 No.2, pp.182 - 214
Received: 02 Jan 2016
Accepted: 04 Jan 2016
Published online: 16 May 2016 *