Title: User preferences oriented cloud service selection in multi-cloud environment

Authors: Li Liu; Letian Yang; Qi Fan

Addresses: School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China ' School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China ' School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China

Abstract: Service selection based on users' preference is a challenge due to the diversity of user demands and preferences in the multi-cloud environment. Few works have clearly reviewed the existing works for the users' preference-oriented service selection in the multi-cloud environment. In this paper, we firstly present the taxonomy of the users' preference-oriented service selection according to the architecture and algorithms. Then, considering the actual situation of uncertain user demands and fuzzy preferences, a cloud service selection method is proposed based on the user preference and credibility evaluation. The user's preference is expressed by combining the semantic terms and attribute comparison. Experiments show that our method performs better in terms of the user preference and credibility.

Keywords: multi-cloud; service selection; credibility evaluation; user preference; intuitionistic fuzzy sets.

DOI: 10.1504/IJCSE.2019.103808

International Journal of Computational Science and Engineering, 2019 Vol.20 No.2, pp.133 - 145

Received: 10 Mar 2018
Accepted: 19 Jul 2018
Published online: 29 Nov 2019 *

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