Structural and behavioral equivalence of simulation models
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Eliminating event cancellation in discrete event simulation
WSC '95 Proceedings of the 27th conference on Winter simulation
Simulation modeling with event graphs
Communications of the ACM
Graphical Simulation Modeling and Analysis: Using SIGMA for Windows
Graphical Simulation Modeling and Analysis: Using SIGMA for Windows
The implementation of temporal intervals in qualitative simulation graphs
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Graph-based modeling: PERT scheduling with resources using qualitative simulation graphs
Proceedings of the 32nd conference on Winter simulation
Comparison of simulation modeling techniques that use preemption to capture design uncertainty
Proceedings of the 33nd conference on Winter simulation
Simulation modeling for analysis
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Ptera: an event-oriented model of computation for heterogeneous systems
EMSOFT '10 Proceedings of the tenth ACM international conference on Embedded software
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Event Graphs and Simulation Graph Models provide a powerful and general modeling framework for discrete event simulation. Within this framework it has been shown that an event cancellation construct in the form of a canceling edge is a modeling convenience rather than a necessary modeling tool. As a result, very little work on the formal development of Event Graphs and Simulation Graph Models directly considers the canceling edge construct. However, to the simulation practitioner the modeling convenience and functionality provided by canceling edges is important. This is clearly demonstrated by the presence of event canceling edges in SIGMA, the commercial software implementation of Event Graphs. This paper proposes an extension of the Event Graph methodology that will completely eliminate canceling edges without loosing the functionality that canceling edges provide. Since this extension is formally developed within the Simulation Graph Model framework, it provides a general approach to handling event cancellation.