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

International Journal of Advanced Computer Science and Applications(IJACSA), 9(1), pp.449-456. doi: 10.14569/IJACSA.2018.090162

8 Pages Posted: 24 Apr 2018

See all articles by Ibrahim M. Al-Jabri

Ibrahim M. Al-Jabri

King Fahd University of Petroleum and Minerals

Eid Mustafa I.

King Fahd University of Petroleum & Minerals (KFUPM) - College of Industrial Management

M. Sadiq Sohail

King Fahd University of Petroleum & Minerals (KFUPM)

Date Written: 2018

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.

Keywords: Cloud computing, Cloud service models, Multi-criteria decision-making, Group decision-making

Suggested Citation

Al-Jabri, Ibrahim M. and Mustafa I., Eid and Sohail, M. Sadiq, A Group Decision-Making Method for Selecting Cloud Computing Service Model (2018). International Journal of Advanced Computer Science and Applications(IJACSA), 9(1), pp.449-456. doi: 10.14569/IJACSA.2018.090162. Available at SSRN: https://ssrn.com/abstract=3156248

Ibrahim M. Al-Jabri (Contact Author)

King Fahd University of Petroleum and Minerals ( email )

College of Industrial Management
Department of ACCT & MIS
Dhahran, 31261
Saudi Arabia

HOME PAGE: http://faculty.kfupm.edu.sa/MISAC/imjabri/index.htm

Eid Mustafa I.

King Fahd University of Petroleum & Minerals (KFUPM) - College of Industrial Management ( email )

Saudi Arabia

M. Sadiq Sohail

King Fahd University of Petroleum & Minerals (KFUPM) ( email )

Dhahran, 31261
Saudi Arabia

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