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Journal of Control Science and Engineering
Volume 2016, Article ID 2670210, 10 pages
http://dx.doi.org/10.1155/2016/2670210
Research Article

Reliability Assessment of Cloud Computing Platform Based on Semiquantitative Information and Evidential Reasoning

School of Computer Science and Technology, Harbin University of Science and Technology, Harbin, Heilongjiang, China

Received 31 July 2016; Accepted 14 September 2016

Academic Editor: Zhijie Zhou

Copyright © 2016 Hang Wei and Pei-Li Qiao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Hang Wei, Guan-Yu Hu, Zhi-Jie Zhou, Pei-li Qiao, Zhi-Guo Zhou, and You-Min Zhang, “A new BRB model for security-state assessment of cloud computing based on the impact of external and internal environments,” Computers & Security, 2017. View at Publisher · View at Google Scholar
  • Hang Wei, Guan-Yu Hu, Xiaoxia Han, Peili Qiao, Zhiguo Zhou, Zhi-Chao Feng, and Xiao-Jing Yin, “A New BRB Model for Cloud Security-State Prediction Based on the Large-Scale Monitoring Data,” IEEE Access, vol. 6, pp. 11907–11920, 2018. View at Publisher · View at Google Scholar
  • Kolasani Ramchand H Rao, and Kalyani, “Software reliability assessment paradigm of multi cloud computing systems,” International Journal of Pure and Applied Mathematics, vol. 118, no. 16, pp. 1–10, 2018. View at Publisher · View at Google Scholar