การคัดเลือกผู้ให้บริการระบบประมวลผลแบบกลุ่มเมฆของมหาวิทยาลัยเชียงใหม่ โดยวิธีวิเคราะห์เชิงลำดับขั้น

Abstract

The study on “Selection of Cloud Computing Provider Using the Analytic Hierarchy Process (AHP): A Case Study of Chiang Mai University” aims to develop the model of the selection of Cloud Computing provider using the Analytic Hierarchy Process (AHP), to verify capacity of the proposed selected model, and to conduct the comparative study of the 2 data collection methods namely Geometric Mean and Consensus Approach to find the one and the most appropriate method for the selection of Cloud Computing provider. Data of this study were collected from 5 authorities on Information Technology of Chiang Mai University. For the first objective, to develop the selection model, it got started by setting up criteria using for selecting the Cloud Computing provider. In this step, the reviews of relevant literatures were applied, then, 6 main criteria were addressed: cost, agility, performance, assurance, accountability, and security. In each main criterion, it consisted of 3 sub-criteria, so there were 18 sub-criteria in total. All criteria were ranked in according to hierarchy. After that, the model was constructed via Expert Choice program, which was, later on, used for collecting information from 5 respondents under the application of 2 APH forms. In the beginning, the data collection was done under the mathematic approach, called, the Geometric Mean, to group individual discretions together. In the meanwhile, data were re-collected according to consensus approach, which required the group discussion of the 5 respondents to find out consensus discretion. Lastly, results as obtained from both methods were compared and asked the respondents to select the most appropriate method for the selection of Cloud Computing provider. For the second objective, the results suggested that the selected model was applicable to the selection of Cloud Computing provider. In order to make data as obtained from questionnaires reliable, this study, in addition, examined the consistency ratio (C.R.) according to the model’s matrix size. Sensitivity was also analyzed to find out how the decision’s outcome changed when the level of importance of each main criterion was varied. For the third objective, to conduct the comparative study on 3 Cloud Computing providers namely Amazon EC2, Microsoft Azure, and Google Compute Engine according to 2 mentioned data collection methods, the findings presented that the decision making to select the Cloud Computing provider were contradictory. The results suggested that according to the Geometric method, Google Compute Engine was selected to be the Cloud Computing provider, while Amazon EC2 was selected according to the consensus approach. All 5 respondents unanimously agreed with the result as gained from the consensus approach. The authorities, who could do the decision making, firstly chose Amazon EC2 to be Cloud Computing provider, followed by Microsoft Azure, and Google Compute Engine, respectively. The main criteria influencing their decision making the most were security, accountability, performance, assurance, and cost, accordingly.