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A discovery method of service-correlation for service composition in virtual enterprise

Author

Listed:
  • Hua Guo
  • Lin Zhang
  • Yilong Liu
  • Fei Tao
  • Min Shu
  • Shaomin Mu

Abstract

With the increasingly fierce market competition and rapid development of information technology, as a new organisation, virtual enterprise (VE) emerges from the business process of single enterprise. Service composition, which can realise the added value of service, is the core to implement a VE. Considering that there always exist correlations among services, which can affect the service composition. Hence, how to find the correlations between two services and apply them to service composition is a key issue. This paper presents the formalised description for correlations between two services, and designs discovery algorithms of service-correlation to find what kind of correlations two services have. A case study illustrates the application of the proposed discovery algorithms. The effectiveness of proposed service-correlation discovery algorithm is demonstrated through simulation experiment. [Received 28 September 2011; Revised 28 March 2012; Revised 28 September 2012; Accepted 17 March 2013]

Suggested Citation

  • Hua Guo & Lin Zhang & Yilong Liu & Fei Tao & Min Shu & Shaomin Mu, 2014. "A discovery method of service-correlation for service composition in virtual enterprise," European Journal of Industrial Engineering, Inderscience Enterprises Ltd, vol. 8(5), pages 579-618.
    • Handle: RePEc:ids:eujine:v:8:y:2014:i:5:p:579-618
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    Cited by:

    1. Tianyang Li & Ting He & Zhongjie Wang & Yufeng Zhang, 2020. "SDF-GA: a service domain feature-oriented approach for manufacturing cloud service composition," Journal of Intelligent Manufacturing, Springer, vol. 31(3), pages 681-702, March.

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