Petri-object simulation: Software package and complexity

Stetsenko, Inna V.; Dorosh, Vitaliy; Dyfuchyn, Anton

doi:10.1109/idaacs.2015.7340762

Cited by 7 publications

(2 citation statements)

References 4 publications

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“…This allows the comparison of the implementations of the Petri-object model and the stochastic Petri. The results are shown in Fig.7, which confirms the theoretical polynomial evaluation of model complexity given in [10]. The simulation algorithm of the Petri-object model provides twice the reduction of time performance in comparison with the simulation of stochastic Petri net.…”

Section: Petri-object Simulation Algorithmsupporting

confidence: 77%

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Web application for visual modeling of discrete event systems

Stetsenko

Dyfuchyn

Leshchenko

et al. 2017

2017 Internet Technologies and Applications (ITA)

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This research work has resulted in the development of a web application that enables discrete event systems simulation to be created using a Petri-object approach. It provides the development of a model in two stages. In the first stage, the dynamics of the classes of objects are created using Petri net. In the second stage, the model is composed of objects with given dynamics. The simulation algorithm is based on stochastic Petri net with multichannel transitions and is implemented using Ruby. The web application enables the design of the model's dynamics by manipulation with graphics objects and saving it not only as a graphics object but also as a program method. This greatly improves the overall performance of the simulation model development.

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Section: Petri-object Simulation Algorithmsupporting

confidence: 77%

“…Computing complexity of Petri-object simulation is investigated in [10]. The mathematical evaluation of complexity and the results of experiments are close.…”

Section: Petri-object Simulation Algorithmmentioning

confidence: 99%