AI-based Web Service Composition: A Review. Issue 4 (3rd July 2016)

• Record Type: Journal Article
• Authors: Rodríguez, Guillermo; Soria, Álvaro; Campo, Marcelo
• Is Part Of: IETE technical review. Volume 33:Issue 4(2016)
• Page Start: 378
• Page End: 385
• Publication Date: 2016-07-03
• Subjects: Service composition -- Web services -- Artificial intelligence -- Service-Oriented architecture -- Service-Oriented development -- Quality of service; Telecommunication -- Periodicals; Electronics -- Periodicals; Electronics; Telecommunication; Periodicals; 621.38
• DOI: 10.1080/02564602.2015.1110061
• Languages: English
• ISSNs: 0256-4602

Abstract

ABSTRACT: Web service composition allows developers to create applications by capitalizing on the service-oriented architecture paradigm. Such applications are rapidly deployable and offer developers reuse opportunities and access to an ample variety of complex systems. However, the challenge when composing services is addressing quality-of-service (QoS) issues. Thus, we attempt to shed light on the role of artificial intelligence (AI) in assisting developers to deal with QoS-based web service compositions. This paper characterizes contemporary approaches that use AI to explore alternative solutions. We concluded that AI has aimed at exploiting the semantic resources to produce flexible and adaptive-to-change web service compositions.