A Petri Net Approach to Verify and Debug Simulation Models

Verification and Simulation share many issues, one is that simulation models require validation and verification. In the context of simulation, verification is understood as the task to ensure that an executable simulation model matches its conceptual counterpart while validation is the task to ensure that a simulation model represents the system under study well enough with respect to the goals of the simulation study. Both, validation and verification, are treated in the literature at a rather high level and seem to be more an art than engineering. This paper considers discrete event simulation of stochastic models that are formulated in a process-oriented language. The ProC/B paradigm is used as a particular example of a class of simulation languages which follow the common process interaction approach and show common concepts used in performance modeling, namely a) layered systems of virtual machines that contain resources and provide services and b) concurrent processes that inter...

• Type: Conference
• Year: 2006
• Where: DAGSTUHL
• Authors: Peter Kemper, Carsten Tepper
• Keywords: DAGSTUHL 2006, DAGSTUHL 2007, Discrete Event Simulation, Simulation, Simulation Model