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Composable correlation mining of cloud service in cloud manufacturing

  • Hua Guo*
  • , Lin Zhang
  • , Fei Tao
  • , Zhiyun Ren
  • , Yongliang Luo
  • *此作品的通讯作者
  • Beihang University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

The emergence of cloud manufacturing (CMfg) provides a new opportunity for the change of manufacturing towards service-oriented model. Cloud service composition (CSC), which can realize the added value of cloud service (CS), is the core to implement CMfg. Since there always exist correlations among CSs, especially composable correlation (CoC), which can affect the construction of CSC path. Hence, how to mine the CoC among CSs and judge which kind of CoC between them is a key issue. This paper presents the formalized description for CoC, and designs decision algorithms to judge CoCs between CSs based on bipartite graph. The case study illustrates the application of proposed algorithms.

源语言英语
主期刊名IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
1907-1911
页数5
DOI
出版状态已出版 - 2011
活动IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011 - Singapore, 新加坡
期限: 6 12月 20119 12月 2011

出版系列

姓名IEEE International Conference on Industrial Engineering and Engineering Management
ISSN(印刷版)2157-3611
ISSN(电子版)2157-362X

会议

会议IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
国家/地区新加坡
Singapore
时期6/12/119/12/11

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