Application of bayesian networks in web services: a scoping review

Author:

Guinhouya Kouami A.1

Affiliation:

1. KGuins Inc

Abstract

Abstract Context. Web services (WSs) are the preferred approach in realizing the service-oriented computing paradigm. However, this comes with challenges like complexity and uncertainty. Bayesian networks (BNs) are one of the techniques used to deal with these challenges. Objective. This study aims to determine and describe what is known about the use of BNs in WSs research. Methods. Using the scoping review method, we selected 69 (among the 532 identified) articles published on the subject (2001-2021). These articles were classified by research themes (What), research objectives (Why), and the types of bayesian network used (How). Results. The research themes explored are, in order of importance, Service composition, Service management, and Service engineering. In terms of research objectives, the articles mainly focused on Prediction, Description, and Prescription. Finally, the types of BNs used are Basic, Combined, and Extended BNs. Conclusion. This review offers a first structured picture of the use of BNs in WSs. Its results can help researchers and practitioners interested in the subject.

Publisher

Research Square Platform LLC

Reference48 articles.

1. A systematic literature review on web service clustering approaches to enhance service discovery, selection and recommendation;Agarwal N;Comput Sci Rev,2022

2. Alférez GH, Pelechano V (2013) Facing uncertainty in web service compositions. In: Proceedings of the 20th IEEE International Conference on Web Services (ICWS 2013), pp. 219–226

3. Scoping studies: towards a methodological framework;Arksey H;Int J Soc Res Methodol,2005

4. Review of machine learning approaches to semantic web service discovery;Batra S;J Adv Inform Technol,2010

5. Bayesian networks in neuroscience: A survey;Bielza C;Front Comput Neurosci,2014

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