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An Integrated Multi-Criteria Decision-Making Model for Cloud Service Provider Selection

An Integrated Multi-Criteria Decision-Making Model for Cloud Service Provider Selection

Uma S. (http://orcid.org/0000-0001-5982-984X) (a0a5af0c-63a6-4312-80f9-8e1153d7b3a6, Evangelin Geetha D. (c195c8ff-665f-4211-8965-84fb61b45360
Copyright: © 2022 |Volume: 14 |Issue: 1 |Pages: 18
ISSN: 1941-6296|EISSN: 1941-630X|EISBN13: 9781683180890|DOI: 10.4018/IJDSST.286692
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MLA

Uma S. (http://orcid.org/0000-0001-5982-984X) (a0a5af0c-63a6-4312-80f9-8e1153d7b3a6, and Evangelin Geetha D. (c195c8ff-665f-4211-8965-84fb61b45360. "An Integrated Multi-Criteria Decision-Making Model for Cloud Service Provider Selection." IJDSST vol.14, no.1 2022: pp.1-18. http://doi.org/10.4018/IJDSST.286692

APA

Uma S. (http://orcid.org/0000-0001-5982-984X) (a0a5af0c-63a6-4312-80f9-8e1153d7b3a6 & Evangelin Geetha D. (c195c8ff-665f-4211-8965-84fb61b45360. (2022). An Integrated Multi-Criteria Decision-Making Model for Cloud Service Provider Selection. International Journal of Decision Support System Technology (IJDSST), 14(1), 1-18. http://doi.org/10.4018/IJDSST.286692

Chicago

Uma S. (http://orcid.org/0000-0001-5982-984X) (a0a5af0c-63a6-4312-80f9-8e1153d7b3a6, and Evangelin Geetha D. (c195c8ff-665f-4211-8965-84fb61b45360. "An Integrated Multi-Criteria Decision-Making Model for Cloud Service Provider Selection," International Journal of Decision Support System Technology (IJDSST) 14, no.1: 1-18. http://doi.org/10.4018/IJDSST.286692

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Abstract

In the present scenario, it is inevitable for organizations to use the services offered through the cloud. As there are numerous cloud service providers, the users have a vast number of choices to get the desired service. For the long-term success of any organization, it is important to choose the right cloud service provider. This paper focuses on proposing a new framework to select the best cloud service provider. While selecting the best service provider, using an appropriate method for finding out the weight of each criterion is very important as it directly impacts the ranking of candidate service providers. In this work, the full consistency method (FUCOM) is employed for finding the weight of each criterion, and multi-objective optimization by ratio analysis (MOORA) is proposed for ranking the service provider. The integration of FUCOM with MOORA results in computing the reliable values of criteria weight and a simpler procedure for computing the overall score of the service provider. Hence, a rational decision making is possible in selecting the best cloud service provider.