Evaluation and selection of cloud deployment models using fuzzy combinative distance-based assessment in an academic institute
by Nandini Kashyap; Rakesh Garg
International Journal of Cloud Computing (IJCC), Vol. 10, No. 3, 2021

Abstract: Cloud computing (CC) is an innovative technology that is completely transforming the way of individuals to collect, share and approach their data files. Although, CC technology provides many benefits such as elasticity, resource pooling and on-demand services, yet there arise various issues and challenges for the successful implementation of this technology. Evaluation and selection of cloud deployment models (CDMs) are one of challenges highly faced by the cloud practitioners. The present study addresses the CDMs evaluation and selection problem in the education sector by modelling it as a multi-criteria decision making (MCDM) problem. To solve this selection problem, a hybrid MCDM approach, namely, fuzzy-combinative distance-based assessment (fuzzy-CODAS) is proposed. The proposed approach works on the calculation of desirability index value for each of the alternatives based on Euclidean and Hamming distances from the negative ideal solution. Finally, the alternatives are ranked on their desirability index values. The alternative having maximum value of desirability index is placed at top position, whereas alternative with minimum value is placed at the last position.

Online publication date: Fri, 08-Oct-2021

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