An extended event graph-based modelling method for parallel and distributed discrete-event simulation

Wei Xia, Yiping Yao and Xiaodong Mu

Mathematical and Computer Modelling of Dynamical Systems, 2012, vol. 18, issue 3, 287-306

Abstract: The developing logical process (LP)-based parallel and distributed discrete-event simulation (PDES) in the existing PDES programming environments is a difficult and time-consuming process. Event graph is a simple and powerful modelling formalism of discrete-event simulation, whereas this formalism does not support PDES. This article proposes an extension of the event graph to consider the communication of LPs via the events sent, which is called ‘extended event graph (EEG)’, and proposes an EEG-based modelling method for PDES. This modelling method shifts the focus of PDES development from writing code to building models, and the system implementation can be automatically and directly generated from EEG model. The experimental results show that EEG models can successfully execute in the parallel simulator, and this framework can effectively improve the PDES modelling activities.

Date: 2012
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/13873954.2012.655697 (text/html)
Access to full text is restricted to subscribers.

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:taf:nmcmxx:v:18:y:2012:i:3:p:287-306

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/NMCM20

DOI: 10.1080/13873954.2012.655697

Access Statistics for this article

Mathematical and Computer Modelling of Dynamical Systems is currently edited by I. Troch

More articles in Mathematical and Computer Modelling of Dynamical Systems from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().