Title: A discovery method of service-correlation for service composition in virtual enterprise
Authors: Hua Guo; Lin Zhang; Yilong Liu; Fei Tao; Min Shu; Shaomin Mu
Addresses: School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China; College of Information Science and Engineering, Shandong Agricultural University, Taian 271018, China ' School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China ' School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China ' School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100191, China ' College of Mechanical and Electronic Engineering, Tanshan Polytechnic, Taian 271000, China ' College of Information Science and Engineering, Shandong Agricultural University, Taian 271018, China
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]
Keywords: virtual enterprises; service correlation; discovery algorithm; service composition; simulation.
European Journal of Industrial Engineering, 2014 Vol.8 No.5, pp.579 - 618
Published online: 26 Nov 2014 *
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