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Applying Fuzzy Differential Equations to the Performance Analysis of Service Composition

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Book cover Advanced Intelligent Computing Theories and Applications (ICIC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 6215))

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Abstract

In this paper, a new method is proposed to measure the performance of service composition. Due to the nondeterministic response in the Internet, we model service composition by a group of fuzzy differential equations, where each equation describes the state change of the service composition. By using RKF method, approximate reasoning rules, and fuzzy simulation principle, we obtain the the numerical solutions. Our performance analysis is based on the solutions of the these equations. Three measure indexes have been considered: response time, throughput and resource utilization rate. A case study demonstrates the advantages.

This work is partially supported by NSF(No. 90818013) and Zhejiang NSF(No.Z1090357).

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Author information

Authors and Affiliations

  1. Center of Math Computing and Software Engineering Zhejiang, Sci-Tech University Hangzhou, Zhejiang, 310018, China

    Zuohua Ding & Hui Shen

Authors
  1. Zuohua Ding
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  2. Hui Shen
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Editor information

Editors and Affiliations

  1. Intelligent Computing Laboratory, Chinese Academy of Sciences, P.O. Box 1130, 230031, Hefei, Anhui, China

    De-Shuang Huang

  2. Department of Biomedical Informatics, Vanderbilt University Medical Center, 2,525 West End Avenue, Suite 600, 37203, Nashville, TN, USA

    Zhongming Zhao

  3. Electrical and Electronics Department, Polytechnic of Bari, Via Orabona 4, 70125, Bari, Italy

    Vitoantonio Bevilacqua

  4. Faculty of Engineering, District University Francisco José de Caldas, Cra. 7a,No. 40-53, Fifth Floor, Bogotá, Colombia

    Juan Carlos Figueroa

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© 2010 Springer-Verlag Berlin Heidelberg

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Ding, Z., Shen, H. (2010). Applying Fuzzy Differential Equations to the Performance Analysis of Service Composition. In: Huang, DS., Zhao, Z., Bevilacqua, V., Figueroa, J.C. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Lecture Notes in Computer Science, vol 6215. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14922-1_16

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  • DOI: https://doi.org/10.1007/978-3-642-14922-1_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14921-4

  • Online ISBN: 978-3-642-14922-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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