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Asian Simulation Conference

AsiaSim 2018: Methods and Applications for Modeling and Simulation of Complex Systems pp 186–203Cite as

A Semantic Composition Framework for Simulation Model Service

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 946))

Abstract

In order to solve the large-scale model service composition problem in the cloud of simulation, this paper proposes a simulation model service composition framework which considers the characteristics of the cloud. This simulation model service composition framework adopts an ontology-based simulation model service description strategy (MSDS). Based on MSDS, the composite service composed of several model services with complex topology connection relationships is generated by the Input/Output semantic connection strength and simulation capability. A contrast experiment is conducted for the empirical verification.

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Acknowledgment

Authors gratefully acknowledge the support of National Natural Science Foundation of China (Grant No. 61374199); Natural Science Foundation of Beijing (No. 4142031).

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Authors and Affiliations

  1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, 100191, China

    Tian Bai, Lin Zhang & Fei Wang

  2. Engineering Research Center of Complex Product Advanced Manufacturing Systems, Ministry of Education, Beijing, 100191, China

    Tian Bai, Lin Zhang & Fei Wang

  3. Beijing Simulation Center, Beijing, 100854, China

    Tingyu Lin & Yingying Xiao

Authors
  1. Tian Bai
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  2. Lin Zhang
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  3. Fei Wang
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  4. Tingyu Lin
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  5. Yingying Xiao
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Corresponding author

Correspondence to Lin Zhang .

Editor information

Editors and Affiliations

  1. Ritsumeikan University, Kusatsu, Shiga, Japan

    Liang Li

  2. Ritsumeikan University, Kusatsu, Shiga, Japan

    Kyoko Hasegawa

  3. Ritsumeikan University, Kusatsu, Shiga, Japan

    Satoshi Tanaka

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© 2018 Springer Nature Singapore Pte Ltd.

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Cite this paper

Bai, T., Zhang, L., Wang, F., Lin, T., Xiao, Y. (2018). A Semantic Composition Framework for Simulation Model Service. In: Li, L., Hasegawa, K., Tanaka, S. (eds) Methods and Applications for Modeling and Simulation of Complex Systems. AsiaSim 2018. Communications in Computer and Information Science, vol 946. Springer, Singapore. https://doi.org/10.1007/978-981-13-2853-4_15

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  • DOI: https://doi.org/10.1007/978-981-13-2853-4_15

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2852-7

  • Online ISBN: 978-981-13-2853-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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