Importance Degree of Influencing Factors on Cloud Service Composition Flexibility Based on Bayesian Network

Kai Zhang; Xuan Guo Xu

doi:10.4028/www.scientific.net/AMR.988.745

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 988Importance Degree of Influencing Factors on Cloud...

Importance Degree of Influencing Factors on Cloud Service Composition Flexibility Based on Bayesian Network

Abstract:

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.

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Periodical:

Advanced Materials Research (Volume 988)

Pages:

745-750

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.988.745

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Online since:

July 2014

Authors:

Kai Zhang*, Xuan Guo Xu

Keywords:

Bayesian Network (BN), Cloud Service Composition, Flexibility, Importance Analysis

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* - Corresponding Author

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