Composable correlation mining of cloud service in cloud manufacturing

Hua Guo; Lin Zhang; Fei Tao; Zhiyun Ren; Yongliang Luo

doi:10.1109/IEEM.2011.6118247

Composable correlation mining of cloud service in cloud manufacturing

Hua Guo^*
, Lin Zhang
, Fei Tao
, Zhiyun Ren
, Yongliang Luo

^*Corresponding author for this work

Beihang University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

10 Scopus citations

Abstract

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.

Original language	English
Title of host publication	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
Pages	1907-1911
Number of pages	5
DOIs	https://doi.org/10.1109/IEEM.2011.6118247
State	Published - 2011
Event	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011 - Singapore, Singapore Duration: 6 Dec 2011 → 9 Dec 2011

Publication series

Name	IEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)	2157-3611
ISSN (Electronic)	2157-362X

Conference

Conference	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011
Country/Territory	Singapore
City	Singapore
Period	6/12/11 → 9/12/11

Keywords

cloud manufacturing (CMfg)
cloud service composition
Composabale correlation
mining algorithm

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10.1109/IEEM.2011.6118247

Cite this

Guo, H., Zhang, L., Tao, F., Ren, Z., & Luo, Y. (2011). Composable correlation mining of cloud service in cloud manufacturing. In IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011 (pp. 1907-1911). Article 6118247 (IEEE International Conference on Industrial Engineering and Engineering Management). https://doi.org/10.1109/IEEM.2011.6118247

@inproceedings{b125970ec9374c34ba18a67660ad70cf,

title = "Composable correlation mining of cloud service in cloud manufacturing",

abstract = "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.",

keywords = "cloud manufacturing (CMfg), cloud service composition, Composabale correlation, mining algorithm",

author = "Hua Guo and Lin Zhang and Fei Tao and Zhiyun Ren and Yongliang Luo",

year = "2011",

doi = "10.1109/IEEM.2011.6118247",

language = "英语",

isbn = "9781457707391",

series = "IEEE International Conference on Industrial Engineering and Engineering Management",

pages = "1907--1911",

booktitle = "IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011",

note = "IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011 ; Conference date: 06-12-2011 Through 09-12-2011",

}

Guo, H, Zhang, L , Tao, F, Ren, Z & Luo, Y 2011, Composable correlation mining of cloud service in cloud manufacturing. in IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011., 6118247, IEEE International Conference on Industrial Engineering and Engineering Management, pp. 1907-1911, IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011, Singapore, Singapore, 6/12/11. https://doi.org/10.1109/IEEM.2011.6118247

Composable correlation mining of cloud service in cloud manufacturing. / Guo, Hua; Zhang, Lin ; Tao, Fei et al.
IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011. 2011. p. 1907-1911 6118247 (IEEE International Conference on Industrial Engineering and Engineering Management).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Tao, Fei

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AB - 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.

KW - cloud manufacturing (CMfg)

KW - cloud service composition

KW - Composabale correlation

KW - mining algorithm

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SN - 9781457707391

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T2 - IEEE International Conference on Industrial Engineering and Engineering Management, IEEM2011

Y2 - 6 December 2011 through 9 December 2011

ER -

Composable correlation mining of cloud service in cloud manufacturing

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