The Möbius modeling tool

Graham Clark, Tod Courtney, David Daly, Dan Deavours, Salem Derisavi, Jay M. Doyle, William H. Sanders, Patrick Webster

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

Abstract

Despite the development of many modeling formalisms and model solution methods, most tool implementations support only a single formalism. Furthermore, models expressed in the chosen formalism cannot be combined with models expressed in other formalisms. This monolithic approach both limits the usefulness of such tools to practitioners, and hampers modeling research, since it is difficult to compare new and existing formalisms and solvers. This paper describes the method that a new modeling tool, called Möbius, uses to eliminate these limitations. Möbius provides an infrastructure to support multiple interacting formalisms and solvers, and is extensible in that new formalisms and solvers can be added to the tool without changing those already implemented. Möbius provides this capability through the use of an abstract functional interface, which provides a formalism-independent interface to models. This allows models expressed in multiple formalisms to interact with each other, and with multiple solvers.

Original languageEnglish (US)
Title of host publicationProceedings - 9th International Workshop on Petri Nets and Performance Models, PNPM 2001
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages241-250
Number of pages10
ISBN (Electronic)0769512488, 9780769512488
DOIs
StatePublished - 2001
Event9th International Workshop on Petri Nets and Performance Models, PNPM 2001 - Aachen, Germany
Duration: Sep 11 2001Sep 14 2001

Publication series

NameProceedings - 9th International Workshop on Petri Nets and Performance Models, PNPM 2001

Conference

Conference9th International Workshop on Petri Nets and Performance Models, PNPM 2001
Country/TerritoryGermany
CityAachen
Period9/11/019/14/01

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Modeling and Simulation

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