Abstract
Digital-technologies based service-oriented enterprise networks (SOEN) are emerging. The performance optimization for SOEN is very complex. It is needed: first, to try to reduce an abstract service’s waiting-number of its physical services; second, to optimize the service-orchestration-schemes of the physical services waited before. This paper introduces an uncertainty theory and genetic algorithm-based performance optimization method (UGPO) to solve these problems. The uncertainty theory of UGPO is used to determine an abstract service’s waiting-number for its physical services. The genetic algorithm of UGPO is used to search for the best service-orchestration-scheme from a large number of potential combinatorial schemes by the physical services waited before. UGPO has made use of the information of the physical services’ arriving rules and performance distribution functions thoroughly, which will improve the computational efficiency for the scheme design and performance optimization of the SOEN in digital enterprise environments.
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References
Cardellini, V., Casalicchio, E., Vincenzo, G., et al.: A framework for optimal service selection in broker-based architectures with multiple QoS classes. In: Services Computing Workshops, pp. 105–112 (2006)
Chen, Y.N.: Modeling and simulation for and in service-oriented computing paradigm. Simulation 83(1), 3–6 (2007)
Dai, Y., Yang, L., Zhang, B., et al.: QoS for Composite Web Service and Optimizing. Chinese Journal of Computers 7, 1167–1178 (2006) (in Chinese)
Hu, J.Q., Guo, C.G., Wang, H.M., et al.: Quality-driven Web services selection. In: IEEE International Conference on E-Business Engineering, ICEBE 2005, pp. 681–688 (2005)
Kalepu, S., Krishnavamy, S., Loke, S.W.: Verity: a QoS metric for selecting web services and providers. In: Fourth International Conference on Web Information Systems Engineering Workshops, pp. 131–139 (2003)
Shen, Y.M., Fan, Y.S.: Online selection approach for service composition in enterprises coordination. Computer Integrated Manufacturing Systems 14(4), 799–805 (2008)
Tsai, W.T., Cao, Z.B., Wei, X.: Modeling and simulation in service-oriented software development. Simulation 83(1), 7–32 (2007)
Zeng, S.: The Research on Multi-Process Modeling and Simulation Methods. PhD Thesis, Beijing: Automation Department, Tsinghua University, p. 109, 112 (2009) (in Chinese)
Zeng, S., Huang, S.H., Fan, Y.S.: Service-oriented business process modeling and performance evaluation based on AHP and simulation. In: IEEE International Conference on E-Business Engineering, ICEBE 2007, pp. 469–476 (2007)
Zheng, Y.C., Fan, Y.S., Tan, W.: Interactive-event-based workflow simulation in service oriented computing environment. In: Proceedings of the Fifth International Conference on Grid and Cooperative Computing, pp. 177–184 (2006)
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Zeng, S., Huang, S., Chen, Z. (2010). An Uncertainty Theory and Genetic Algorithm-Based Performance Optimization Method for Service-Oriented Enterprise Networks. In: Huang, G.Q., Mak, K.L., Maropoulos, P.G. (eds) Proceedings of the 6th CIRP-Sponsored International Conference on Digital Enterprise Technology. Advances in Intelligent and Soft Computing, vol 66. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10430-5_90
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DOI: https://doi.org/10.1007/978-3-642-10430-5_90
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-10429-9
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