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Relative weight comparison between virtual key factors of cloud computing with analytic network process

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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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Acknowledgments

This Research has been performed as a subproject of project Global Science experimental Data hub Center (GSDC) and supported by the Korea Institute of Science and Technology Information (KISTI).

Author information

Authors and Affiliations

  1. Humanitas College, Kyung Hee University, Seoul, 130-701, Korea

    Cheol-Rim Choi & Hwa-Young Jeong

  2. Department of Computer Science and Engineering, Seoul National University of Science and Technology, Seoul, 139-743, Korea

    Jong Hyuk Park

  3. Global Science experimental Data Hub Center, Korea Institute of Science and Technology Information, Daejeon, 305-806, Korea

    Haeng Jin Jang

  4. Department of Multimedia Engineering, Dongguk University, Seoul, 100-715, Korea

    Young-Sik Jeong

Authors
  1. Cheol-Rim Choi
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  2. Hwa-Young Jeong
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  3. Jong Hyuk Park
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  4. Haeng Jin Jang
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  5. Young-Sik Jeong
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Corresponding authors

Correspondence to Haeng Jin Jang or Young-Sik Jeong.

Appendix

Appendix

See Tables 9, 10, 11, 12, 13 and 14.

Table 9 Submatrix for information quality considering the interrelations
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Table 10 Submatrix for simplified management and maintenance considering the interrelations
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Table 11 Submatrix for integration of resources considering the interrelations
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Table 12 Submatrix for cost reduction considering the interrelations
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Table 13 Submatrix for ease of deployment, test and development considering the interrelations
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Table 14 Submatrix for organizational consensus considering the interrelations
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Choi, CR., Jeong, HY., Park, J.H. et al. Relative weight comparison between virtual key factors of cloud computing with analytic network process. J Supercomput 72, 1694–1714 (2016). https://doi.org/10.1007/s11227-014-1311-x

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  • DOI: https://doi.org/10.1007/s11227-014-1311-x

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