Importance Degree of Influencing Factors on Cloud Service Composition Flexibility Based on Bayesian Network
Kai Zhang, Xuan Guo Xu · Advanced materials research · 2014
In this paper, the cloud service composition flexibility and its influencing factors were analyzed. Because the cloud service composition has too many uncertainties, a Bayesian network model was built to analyze the importance degree of the influencing factors of cloud service composition flexibility, and then the key factors were identified. This paper offered the groundwork for the subsequent influencing factors monitoring and cloud service composition flexibility measuring.