Restraining complexity and scale traits for component-based simulation models

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations


From understanding our distant past to building systems of future, useful simulations demand 'efficient models'. Standing in the way is the twofold challenge of restraining complexity and scale of models. We describe these traits in view of component-based model development. We substantiate the roles complexity and scale play in view of modeling formalisms. We propose semi-formal modeling methods, in contrast to formal, are suitable for qualifying/quantifying model complexity and scale. For structural abstractions, we use class and component models. For behavioral abstractions, we use activity and state machines models. Furthermore, we consider these traits from the vantage point of having families of component-based models. We exemplify the concept and approach by developing families of DEVS models in the COSMOS framework supporting DEVS-based activity and state machines models that persist in relational databases across multiple model development sessions. We conclude by discussing future research directions for real-time and heterogeneous model composability.

Original languageEnglish (US)
Title of host publication2017 Winter Simulation Conference, WSC 2017
EditorsVictor Chan
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages15
ISBN (Electronic)9781538634288
StatePublished - Jun 28 2017
Event2017 Winter Simulation Conference, WSC 2017 - Las Vegas, United States
Duration: Dec 3 2017Dec 6 2017

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736


Other2017 Winter Simulation Conference, WSC 2017
Country/TerritoryUnited States
CityLas Vegas

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications


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