Studies in Informatics and Control – ICI Bucharest
Constanţa Zoie RADULESCU1*, Marius RADULESCU2, Radu BONCEA1,3,
Ionut PETRE1,4, Ionut-Eugen SANDU1,4, Mihail DUMITRACHE1,5
1 National Institute for Research and Development in Informatics – ICI Bucharest,
8-10 Maresal Averescu Avenue, Bucharest, 01145, Romania
zoie.radulescu@ici.ro (*Corresponding author), radu.boncea@ici.ro, ionut.petre@ici.ro,
ionut.sandu@ici.ro, mihail.dumitrache@ici.ro
2 “Gheorghe Mihoc-Caius Iacob” Institute of Mathematical Statistics and Applied Mathematics of the
Romanian Academy, 13 Calea 13 Septembrie, Bucharest, 050711, Romania
mradulescu.csmro@yahoo.com
3 Politehnica University of Bucharest, 313 Splaiul Independentei, Bucharest, 60042, Romania
4 “Lucian Blaga” University of Sibiu, 10 Victoriei Blvd., Sibiu, 550024 Romania
5 University of Bucharest – Faculty of Letters, 5-7 Edgar Quinet Street, Bucharest, 010017, Romania
Abstract: Market availability of multiple cloud services with similar characteristics, various pricing structures, and different Quality of Service (QoS) criteria make the selection of a Cloud Service Provider (CSP) a difficult task for decision makers that want to move their business to the cloud. CSP selection is a complex multicriteria problem. Many of the QoS criteria that must be considered in this problem are both quantitative and qualitative criteria. This fact determines the inclusion in the decision process of the uncertainty due to the subjectivism of the qualitative criteria evaluation. The present paper proposes a new multicriteria framework based on the Matter Element Extension (MEE) method to solve the problem of ranking a set of CSPs and the selection of the CSP that best meets the requirements of an organization. MEE method is ideal to solve multicriteria problems by formalizing the decision process. It can be enhanced by combining it with weighting methods. The multicriteria framework based on MEE method is implemented in a case study. A sensitivity analysis is performed by varying the endpoints of the extended intervals for criteria. The solutions and the CSP ranks obtained are analysed.
Keywords: Multicriteria framework, Cloud Services Providers, Matter Element Extension method, Ranking, Classic and extended intervals, Sensitivity analysis.
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CITE THIS PAPER AS:
Constanţa Zoie RADULESCU, Marius RADULESCU, Radu BONCEA, Ionut PETRE, Ionut-Eugen SANDU, Mihail DUMITRACHE, A Multicriteria Framework for Cloud Service Providers Selection Based on the Matter Element Extension Method, Studies in Informatics and Control, ISSN 1220-1766, vol. 30(1), pp. 77-87, 2021. https://doi.org/10.24846/v30i1y202107