An Integrated Framework for Selecting Best Cloud Service Provider with Multi-Criteria Decision Making Methodology

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Ahmed Abdelhafeez
Ahmed Abdel-Rahim EI-Douh
Ayman H. Abdel-aziem

Abstract

Choosing a cloud service provider is an essential choice for businesses looking to take advantage of cloud computing. A review of the most important considerations when selecting a cloud service provider is given in this study. Several criteria are considered when evaluating cloud service providers: performance and dependability, security and compliance, scalability and flexibility, cost and pricing, service and support, compliance and data location, integration and interoperability, vendor lock-in, reputation and references, and future roadmap and innovation. Organizations may choose a provider that satisfies their unique requirements, fits with their business goals, and guarantees a safe and effective cloud environment by carefully evaluating these factors. A well-chosen cloud service provider may improve security, promote scalability, encourage innovation, and increase business operational efficiency. We used the multi-criteria decision-making (MCDM) methodology to rank the criteria and select the best cloud service provider. We used the VIKOR method as an MCDM methodology to compute the criteria weights and rank the alternatives. We show that performance is the best criterion. We analysed changes in the parameters of the VIKOR method to show different ranks. We conclude the results are stable.

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How to Cite
Abdelhafeez, A., EI-Douh, A. A.-R., & Abdel-aziem, A. H. (2023). An Integrated Framework for Selecting Best Cloud Service Provider with Multi-Criteria Decision Making Methodology. Multicriteria Algorithms With Applications, 1, 11-18. https://doi.org/10.61356/j.mawa.2023.15961
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Original Article

How to Cite

Abdelhafeez, A., EI-Douh, A. A.-R., & Abdel-aziem, A. H. (2023). An Integrated Framework for Selecting Best Cloud Service Provider with Multi-Criteria Decision Making Methodology. Multicriteria Algorithms With Applications, 1, 11-18. https://doi.org/10.61356/j.mawa.2023.15961