Model Interoperability in the Discrete Event Paradigm: Representation of Continuous Models

Fernando J. Barros () and Bernard P. Zeigler ()
Additional contact information
Fernando J. Barros: Universidade de Coimbra
Bernard P. Zeigler: The University of Arizona

Chapter 10 in Modeling and Simulation: Theory and Practice, 2003, pp 103-126 from Springer

Abstract: Abstract Model interoperability requires that models can be mapped into a common formalism. To achieve this goal in the realm of discrete event Systems we propose a standardization of the DEVS formalism. The DEVS formalism created in the earlier 70s has accommodated several changes since its creation. These changes have, for example, allowed expressing models with dynamic structure, and handling simultaneous events. We overview different DEVS flavors and we present both basic and port/link based formalisms. To increase the scope of model interoperability we also present guidelines for transforming continuous models specified in the Continuous Flow System Specification formalism into discrete event models. This adds to existing alternatives for simulating continuous Systems with discrete event approaches whose asynchronous time flow Supports efficient parallel and distributed execution. Establishing the equivalence relationships between various formalisms, both existing and new, within the DEVS formalism will help to standardize the field of discrete event Simulation and eventually will lead to a high degree of compatibility among models, with a strong impact in the reuse of model libraries

Date: 2003
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4615-0235-7_11

Ordering information: This item can be ordered from
http://www.springer.com/9781461502357

DOI: 10.1007/978-1-4615-0235-7_11

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().