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Research Article | Open Access |

A Group Decision-Making Method for Selecting Cloud Computing Service Model

Author 1: Ibrahim M. Al-Jabri Author 2: Mustafa I. Eid Author 3: M. Sadiq Sohail
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 9, No. 1 · Published 2018 · Cited by 18

DOI: https://doi.org/10.14569/IJACSA.2018.090162

Abstract

Cloud computing is a new technology that has great potential for the business world. Many business firms have implemented, are implementing, or planning to implement cloud computing technology. The cloud computing resources are delivered in various forms of service models which make it challenging for business customers to select the model that suits their business needs. This paper proposes a novel group-based decision-making method where a group of decision makers is involved in the decision process. Each decision maker provides weights for the cloud selection criteria. Based on weight aggregations and deviations, decision makers would select the alternative which has the highest ratio of deviation to mean is selected. The method is illustrated with an example on the selection of cloud service models. This method is useful for IT managers in selecting the appropriate cloud service model for their organizations.

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How to Cite this Article

Al-Jabri, I. M., Eid, M. I., & Sohail, M. S. (2018). A Group Decision-Making Method for Selecting Cloud Computing Service Model. International Journal of Advanced Computer Science and Applications, 9(1). https://doi.org/10.14569/IJACSA.2018.090162

Al-Jabri, Ibrahim M., et al.. "A Group Decision-Making Method for Selecting Cloud Computing Service Model." International Journal of Advanced Computer Science and Applications, vol. 9, no. 1, 2018, https://doi.org/10.14569/IJACSA.2018.090162.

@article{Al-Jabri2018,
  title     = {A Group Decision-Making Method for Selecting Cloud Computing Service Model},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {9},
  number    = {1},
  year      = {2018},
  publisher = {The Science and Information Organization},
  author    = {Ibrahim M. Al-Jabri and Mustafa I. Eid and M. Sadiq Sohail},
  doi       = {10.14569/IJACSA.2018.090162},
  url       = {https://doi.org/10.14569/IJACSA.2018.090162}
}

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