• DocumentCode
    1675150
  • Title

    Revisiting Petri Net Modeling of the Cigarette Smokers´ Problem: A GPenSIM Approach

  • Author

    Davidrajuh, Reggie

  • Author_Institution
    Electr. & Comput. Eng., Univ. of Stavanger, Stavanger, Norway
  • fYear
    2013
  • Firstpage
    195
  • Lastpage
    200
  • Abstract
    Petri Nets is a family of modeling formalisms, with different interpretations and abstraction levels; the Petri nets family of modeling formalisms includes ordinary Petri Net, generalized Petri Net, and also all other extensions e.g. Colored Petri Net, Petri Net with priority, and Petri Net with inhibitor arcs. The availability of different formalisms of the Petri Net family is considered as its main strength, since a discrete system can be modeled with different Petri Net formalism, in order to achieve different abstraction levels and different interpretations. This work presents an application of a new Petri Net simulator known as GPenSIM; GPenSIM is used to model the classical Cigarette Smokers´ Problem, using the different Petri Net extensions implemented in GPenSIM. Thus, this work can be considered as a benchmark to test the strengths and weakness of GPenSIM, in modeling and simulation of discrete event systems.
  • Keywords
    Petri nets; concurrency control; discrete event simulation; mathematics computing; GPenSIM; Petri Net formalism; Petri Net simulator; Petri net modeling; abstraction levels; cigarette smokers problem; discrete event system modeling; discrete event system simulation; generalized Petri Net; modeling formalisms; ordinary Petri Net; Analytical models; Color; Computational modeling; Firing; Inhibitors; Mathematical model; Wrapping; The cigarette smokers problem; Petri Net; Petri Net extensions; GPenSIM; discrete event systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Modelling Symposium (EMS), 2013 European
  • Conference_Location
    Manchester
  • Print_ISBN
    978-1-4799-2577-3
  • Type

    conf

  • DOI
    10.1109/EMS.2013.34
  • Filename
    6779845