%0 Journal Article
%A SUN Bin
%A ZHU Chun-ge
%A ZHU Xiao-ning
%T Reliability Evaluation Model of Large Scale Cloud Resources
%D 2017
%R 10.13190/j.jbupt.2017.s.012
%J Journal of Beijing University of Posts and Telecommunications
%P 53-57
%V 40
%N s1
%X 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)<sup>[1-2]</sup> 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.
%U https://journal.bupt.edu.cn/EN/10.13190/j.jbupt.2017.s.012