Restraining complexity and scale traits for component-based simulation models

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

4 Scopus citations

Abstract

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
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages675-689
Number of pages15
ISBN (Electronic)9781538634288
DOIs
StatePublished - Jan 4 2018
Event2017 Winter Simulation Conference, WSC 2017 - Las Vegas, United States
Duration: Dec 3 2017Dec 6 2017

Other

Other2017 Winter Simulation Conference, WSC 2017
CountryUnited States
CityLas Vegas
Period12/3/1712/6/17

ASJC Scopus subject areas

  • Software
  • Modeling and Simulation
  • Computer Science Applications

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    Sarjoughian, H. (2018). Restraining complexity and scale traits for component-based simulation models. In 2017 Winter Simulation Conference, WSC 2017 (pp. 675-689). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WSC.2017.8247824