Cloud Computing Data Center Adoption Factors Validity By Fuzzy AHP
- DOI
- 10.1080/18756891.2015.1084706How to use a DOI?
- Keywords
- Cloud Computing, Data Center, Adoption Model, Fuzzy AHP, Success Factors
- Abstract
Most sectors of the economy like the universities, high-tech, financial services, and government institutions have data center. However, there are some issues which encompass current data center such as physical location, energy consumption, performance, flexibility. Big organizations like Google, IBM have migrated toward cloud computing, and using cloud data center as the most cost efficient alternative to the current data center. Cloud computing is a model that provides suitable and on-demand access to a VKDUHG SRRO RI FRQ¿JXUDEOH FRPSXWLQJ UHVRXUFHV, EXW unfortunately, it has some attendant problems like security issue, lack of proper policy and standardization. Therefore, in spite of the provision of all the benefits of cloud computing, such as cost reduction, flexibility, easy implementation and accessibility, some organisations are suspected to move toward cloud computing data center. Therefore, the main focus of this paper is to determine the critical success factors for the adoption of cloud computing data center. To achieve this, a structural literature review of existing work and semi structured interview with ten IT administration and IT staff were carried out. We also performed a content validity using a panel of experts including 12 experts with more than 5 years experience. Subsequently, a FAHP technique was used to evaluate experts’ consensuses.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - JOUR AU - Nasrin Badie AU - Ab Razak Che Hussin AU - Arash Habibi Lashkari PY - 2015 DA - 2015/09/01 TI - Cloud Computing Data Center Adoption Factors Validity By Fuzzy AHP JO - International Journal of Computational Intelligence Systems SP - 854 EP - 873 VL - 8 IS - 5 SN - 1875-6883 UR - https://doi.org/10.1080/18756891.2015.1084706 DO - 10.1080/18756891.2015.1084706 ID - Badie2015 ER -