An MCDM Approach for Cloud Computing Service Selection Based on Best-Only Method

Owing to the significant and continuous development of cloud computing technology and the increasing number of cloud service providers (CSPs) that have emerged, CSP selection has become a challenging decision for many organizations. To accurately evaluate the services provided by various CSPs, many...

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Autor principal: Ahmed M. Mostafa
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/32e6d30f2e7a46469d01eeeaa426ec04
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spelling oai:doaj.org-article:32e6d30f2e7a46469d01eeeaa426ec042021-11-26T00:00:31ZAn MCDM Approach for Cloud Computing Service Selection Based on Best-Only Method2169-353610.1109/ACCESS.2021.3129716https://doaj.org/article/32e6d30f2e7a46469d01eeeaa426ec042021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9622259/https://doaj.org/toc/2169-3536Owing to the significant and continuous development of cloud computing technology and the increasing number of cloud service providers (CSPs) that have emerged, CSP selection has become a challenging decision for many organizations. To accurately evaluate the services provided by various CSPs, many independent criteria must be considered, resulting in a multi-criteria decision-making (MCDM) problem. In MCDM problems, several alternatives are assessed against several criteria to identify the optimal alternative (s). The challenges stem from complex computation as well as less consistency, resulting in less reliable results. In this paper, a new method, called the best-only method (BOM), is proposed for solving the CSP selection problem, which is viable, efficient, and fully consistent. The proposed method was evaluated and validated using a use-case scenario, demonstrating its efficiency and appropriateness. The proposed method is compared with two popular MCDM methods, analytical hierarchical process (AHP) and best-worst method (BWM), from three perspectives: efficiency, consistency ratio (CR), and total deviation (TD). Based on the obtained results, AHP and BWM require 75.3% and 46.2% more comparisons, respectively, than the proposed method. The consistency ratios for AHP, BWM, and the proposed method were 37.92%, 13.35%, and 0%, respectively. The total deviations are 21.26, 8.65, and 0 for AHP, BWM, and the proposed method, respectively. These results clearly indicate that the proposed method outperforms AHP and BWM in terms of computing complexity and consistency, making it more efficient and reliable.Ahmed M. MostafaIEEEarticleCloud computing (CC)cloud service selectioncloud service providers (CSPs)multiple-criteria decision-making (MCDM)best only method (BOM)best-worst method (BWM)Electrical engineering. Electronics. Nuclear engineeringTK1-9971ENIEEE Access, Vol 9, Pp 155072-155086 (2021)
institution DOAJ
collection DOAJ
language EN
topic Cloud computing (CC)
cloud service selection
cloud service providers (CSPs)
multiple-criteria decision-making (MCDM)
best only method (BOM)
best-worst method (BWM)
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
spellingShingle Cloud computing (CC)
cloud service selection
cloud service providers (CSPs)
multiple-criteria decision-making (MCDM)
best only method (BOM)
best-worst method (BWM)
Electrical engineering. Electronics. Nuclear engineering
TK1-9971
Ahmed M. Mostafa
An MCDM Approach for Cloud Computing Service Selection Based on Best-Only Method
description Owing to the significant and continuous development of cloud computing technology and the increasing number of cloud service providers (CSPs) that have emerged, CSP selection has become a challenging decision for many organizations. To accurately evaluate the services provided by various CSPs, many independent criteria must be considered, resulting in a multi-criteria decision-making (MCDM) problem. In MCDM problems, several alternatives are assessed against several criteria to identify the optimal alternative (s). The challenges stem from complex computation as well as less consistency, resulting in less reliable results. In this paper, a new method, called the best-only method (BOM), is proposed for solving the CSP selection problem, which is viable, efficient, and fully consistent. The proposed method was evaluated and validated using a use-case scenario, demonstrating its efficiency and appropriateness. The proposed method is compared with two popular MCDM methods, analytical hierarchical process (AHP) and best-worst method (BWM), from three perspectives: efficiency, consistency ratio (CR), and total deviation (TD). Based on the obtained results, AHP and BWM require 75.3% and 46.2% more comparisons, respectively, than the proposed method. The consistency ratios for AHP, BWM, and the proposed method were 37.92%, 13.35%, and 0%, respectively. The total deviations are 21.26, 8.65, and 0 for AHP, BWM, and the proposed method, respectively. These results clearly indicate that the proposed method outperforms AHP and BWM in terms of computing complexity and consistency, making it more efficient and reliable.
format article
author Ahmed M. Mostafa
author_facet Ahmed M. Mostafa
author_sort Ahmed M. Mostafa
title An MCDM Approach for Cloud Computing Service Selection Based on Best-Only Method
title_short An MCDM Approach for Cloud Computing Service Selection Based on Best-Only Method
title_full An MCDM Approach for Cloud Computing Service Selection Based on Best-Only Method
title_fullStr An MCDM Approach for Cloud Computing Service Selection Based on Best-Only Method
title_full_unstemmed An MCDM Approach for Cloud Computing Service Selection Based on Best-Only Method
title_sort mcdm approach for cloud computing service selection based on best-only method
publisher IEEE
publishDate 2021
url https://doaj.org/article/32e6d30f2e7a46469d01eeeaa426ec04
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