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Cited 2 time in webofscience Cited 4 time in scopus
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Relative weight comparison between virtual key factors of cloud computing with analytic network process

Authors
Choi, Cheol-RimJeong, Hwa-YoungPark, Jong HyukJang, Haeng JinJeong, 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.
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