针对制造云服务组合过程具有不确定性的特点,本文在分析云服务组合柔性及其影响因素的基础上,通过构建贝叶斯网络模型进行云服务组合柔性影响因素的重要度分析,进而识别出影响制造云服务组合柔性的关键因素,为后续针对性的开展柔性的测度、监控等研究做好铺垫。

In this paper, the flexibility of cloud service composition 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 of the influencing factors of cloud service composition flexibility, and then the key factors were identified. It was put the groundwork for the subsequently estimating and monitoring work by this paper.

TP391

国家自然科学“面向多任务需求的制造云服务组合柔性及其应用”(71371088)；江苏省青蓝工程。