Introduction to Queueing Petri Nets: Modeling Formalism, Tool Support and Case Studies (Tutorial Paper)
S. Kounev, S. Spinner, und P. Meier. Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering (ICPE 2012), Boston, USA, 22-25 April 2012, Seite 9--18. New York, NY, USA, ACM, (April 2012)
Zusammenfassung
Queueing Petri nets are a powerful formalism that can be exploited for modeling distributed systems and evaluating their performance and scalability. By combining the modeling power and expressiveness of queueing networks and stochastic Petri nets, queueing Petri nets provide a number of advantages. This tutorial presents an introduction to queueing Petri nets first introducing the modeling formalism itself and then summarizing the results of several modeling case studies which demonstrate how queueing Petri nets can be used for performance modeling and analysis. As part of the tutorial, we present QPME (Queueing Petri net Modeling Environment), an open-source tool for stochastic modeling and analysis of systems using queueing Petri nets. Finally, we briefly present a model-to-model transformation automatically generating a queueing Petri net model from a higher-level software architecture model annotated with performance relevant information.
%0 Conference Paper
%1 KoSpMe2012-icpe-QPME_Tutorial
%A Kounev, Samuel
%A Spinner, Simon
%A Meier, Philipp
%B Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering (ICPE 2012), Boston, USA, 22-25 April 2012
%C New York, NY, USA
%D 2012
%I ACM
%K Analytical_and_simulation-based_analysis Formal_architecture_modeling Performance Prediction QPME QPME_Bibliography QPN Simulation Survey Tool descartes t_tutorial
%P 9--18
%T Introduction to Queueing Petri Nets: Modeling Formalism, Tool Support and Case Studies (Tutorial Paper)
%X Queueing Petri nets are a powerful formalism that can be exploited for modeling distributed systems and evaluating their performance and scalability. By combining the modeling power and expressiveness of queueing networks and stochastic Petri nets, queueing Petri nets provide a number of advantages. This tutorial presents an introduction to queueing Petri nets first introducing the modeling formalism itself and then summarizing the results of several modeling case studies which demonstrate how queueing Petri nets can be used for performance modeling and analysis. As part of the tutorial, we present QPME (Queueing Petri net Modeling Environment), an open-source tool for stochastic modeling and analysis of systems using queueing Petri nets. Finally, we briefly present a model-to-model transformation automatically generating a queueing Petri net model from a higher-level software architecture model annotated with performance relevant information.
@inproceedings{KoSpMe2012-icpe-QPME_Tutorial,
abstract = {Queueing Petri nets are a powerful formalism that can be exploited for modeling distributed systems and evaluating their performance and scalability. By combining the modeling power and expressiveness of queueing networks and stochastic Petri nets, queueing Petri nets provide a number of advantages. This tutorial presents an introduction to queueing Petri nets first introducing the modeling formalism itself and then summarizing the results of several modeling case studies which demonstrate how queueing Petri nets can be used for performance modeling and analysis. As part of the tutorial, we present QPME (Queueing Petri net Modeling Environment), an open-source tool for stochastic modeling and analysis of systems using queueing Petri nets. Finally, we briefly present a model-to-model transformation automatically generating a queueing Petri net model from a higher-level software architecture model annotated with performance relevant information.},
added-at = {2020-04-06T11:19:44.000+0200},
address = {New York, NY, USA},
author = {Kounev, Samuel and Spinner, Simon and Meier, Philipp},
biburl = {https://www.bibsonomy.org/bibtex/2faa4de23779fff0b21bcd299bda55c87/se-group},
booktitle = {Proceedings of the 3rd ACM/SPEC International Conference on Performance Engineering (ICPE 2012), Boston, USA, 22-25 April 2012},
interhash = {9784a70551f79d0f450e69243791e0bc},
intrahash = {faa4de23779fff0b21bcd299bda55c87},
keywords = {Analytical_and_simulation-based_analysis Formal_architecture_modeling Performance Prediction QPME QPME_Bibliography QPN Simulation Survey Tool descartes t_tutorial},
month = {4},
pages = {9--18},
publisher = {ACM},
timestamp = {2020-10-06T14:03:19.000+0200},
title = {Introduction to Queueing Petri Nets: Modeling Formalism, Tool Support and Case Studies (Tutorial Paper)},
year = 2012
}