Relative weight comparison between virtual key factors of cloud computing with analytic network process
- Authors
- Choi, Cheol-Rim; Jeong, Hwa-Young; Park, Jong Hyuk; Jang, Haeng Jin; Jeong, Young-Sik
- Issue Date
- May-2016
- Publisher
- SPRINGER
- Keywords
- Cloud computing; Virtualization; Quality; Analytic Network Process; Relative weight
- Citation
- JOURNAL OF SUPERCOMPUTING, v.72, no.5, pp 1694 - 1714
- Pages
- 21
- Indexed
- SCI
SCIE
SCOPUS
- Journal Title
- JOURNAL OF SUPERCOMPUTING
- Volume
- 72
- Number
- 5
- Start Page
- 1694
- End Page
- 1714
- URI
- https://scholarworks.dongguk.edu/handle/sw.dongguk/18125
- DOI
- 10.1007/s11227-014-1311-x
- ISSN
- 0920-8542
1573-0484
- Abstract
- Drastical increase of a variety of information devices with networks are based on a rapid development and expansion of network infrastructures and technology. Cloud computing is a main technology which makes the information devices lighter and allows users to access their data and applications through a variety of networks. Under the circumstances that the importance and use of cloud computing system is rapidly increasing the virtualization technology becomes one of the key components consisting the cloud computing. Therefore, a quality of a variety of cloud computing systems is affected by the virtualization quality. Many factors which decide the virtualization quality and characteristics have been studied. However, when we apply the cloud computing system to our organization the priorities of the key factors should be decided and according to the priorities resourves must be alloted. In this paper, we suggested a relative weight evaluation process applying Analytic Network Process to analyze the interrelations between the key factors and calculate the relative weights of the factors. Especially, through the demonstration we showed that the interrelations between the factors affect the relative weights at large. With the proposed method we can find hidden priority and allot our resources and efforts more effectively.
- Files in This Item
- There are no files associated with this item.
- Appears in
Collections - College of Advanced Convergence Engineering > Department of Computer Science and Artificial Intelligence > 1. Journal Articles

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.