Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2017, Vol. 40 ›› Issue (s1): 53-57.doi: 10.13190/j.jbupt.2017.s.012

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Reliability Evaluation Model of Large Scale Cloud Resources

ZHU Xiao-ning1, SUN Bin1, ZHU Chun-ge2   

  1. 1. Information Security Center, Beijing University of Posts and Telecommunications, Beijing 100876, China;
    2. National Computer Network Emergency Response Technical Team/Coordination Center, Beijing 100029, China
  • Received:2016-05-12 Online:2017-09-28 Published:2017-09-28

Abstract: The computing resources of the Internet has a large number, type, strong randomness, more stability are relatively poor, a kind of based on naive bayesian classification virtual computing environment(iVCE)[1-2] cloud platform reliability evaluation algorithm is put forward. After the feature extraction of computing resources, the method of probability estimation is used to estimate the state of the resources in real time. Had indicated in the actual operation of the iVCE platform, platform resource reliability evaluation by using naive Bayesian algorithm, in evaluation of the accuracy of a 20% increase over and through the parameter optimization algorithm accuracy was also better than similar to several other algorithms above 2%. Meet the needs of the actual production.

Key words: virtual computing environment, cloud computing, resource evaluation

CLC Number: