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A DSM-based multi-paradigm simulation modeling approach for complex systems

Published: 08 December 2013 Publication History

Abstract

Complex systems contain hierarchical heterogeneous subsystems and diverse domain behavior patterns, which bring a grand challenge for simulation modeling. To cope with this challenge, the M&S community extends their existing modeling paradigms to promote reusability, interoperability and composability of simulation models and systems; however, these efforts are relatively isolated and limited to their own technical space. In this paper, we propose a domain specific modeling (DSM)-based multi-paradigm modeling approach which utilizes model driven engineering techniques to integrate current M&S paradigms and promote formal and automated model development. This approach constructs a simulation model framework to architect the structure of the overall simulation system and combines multiple M&S formalisms to describe the diverse domain behaviors; moreover, it provides domain specific language and environment support for conceptual modeling based on the model framework and formalisms. An application example on combat system effectiveness simulation illustrates the applicability of the approach.

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Cited By

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  • (2018)A meta-modeling framework in public health emergency managementSimulation10.1177/003754971773306494:5(401-419)Online publication date: 1-May-2018
  • (2018)A Reconfigurable Virtual Modeling Method for Robot Simulation2018 IEEE International Conference on Mechatronics and Automation (ICMA)10.1109/ICMA.2018.8484497(743-748)Online publication date: 5-Aug-2018

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Information

Published In

cover image ACM Conferences
WSC '13: Proceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World
December 2013
4386 pages
ISBN:9781479920778

Sponsors

  • IIE: Institute of Industrial Engineers
  • INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
  • ASA: American Statistical Association
  • SIGSIM: ACM Special Interest Group on Simulation and Modeling
  • SCS: Society for Modeling and Simulation International
  • ASIM: Arbeitsgemeinschaft Simulation
  • IEEE/SMCS: Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
  • NIST: National Institute of Standards & Technology

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IEEE Press

Publication History

Published: 08 December 2013

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WSC '13
Sponsor:
  • IIE
  • INFORMS-SIM
  • ASA
  • SIGSIM
  • SCS
  • ASIM
  • IEEE/SMCS
  • NIST
WSC '13: Winter Simulation Conference
December 8 - 11, 2013
D.C., Washington

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Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

View all
  • (2018)A meta-modeling framework in public health emergency managementSimulation10.1177/003754971773306494:5(401-419)Online publication date: 1-May-2018
  • (2018)A Reconfigurable Virtual Modeling Method for Robot Simulation2018 IEEE International Conference on Mechatronics and Automation (ICMA)10.1109/ICMA.2018.8484497(743-748)Online publication date: 5-Aug-2018

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