QPME 2.0 Queueing Petri net Modeling Environment User’s Guide A software tool for performance modeling and analysis using queueing Petri nets

QPME 1.0 Queueing Petri net Modeling Environment User’s Guide A software tool for performance modeling and analysis using Queueing Petri Nets

Stochastic Modeling and Analysis Using QPME: Queueing Petri Net Modeling Environment v2.0

Queueing Petri nets are a powerful formalism that can be exploited for modeling distributed systems and analyzing 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. In this paper, we present our tool QPME (Queueing Petri net Modeling Environment) for modeling an...

QPME 2.0 - A Tool for Stochastic Modeling and Analysis Using Queueing Petri Nets

Queueing Petri nets are a powerful formalism that can be exploited for modeling distributed systems and analyzing 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. In this paper, we present Version 2.0 of our tool QPME (Queueing Petri net Modeling Environment) ...

Soccer Goalkeeper Task Modeling and Analysis by Petri Nets

In a robotic soccer team, goalkeeper is an important challenging role, which has different characteristics from the other teammates. This paper proposes a new learning-based behavior model for a soccer goalkeeper robot by using Petri nets. The model focuses on modeling and analyzing, both qualitatively and quantitatively, for the goalkeeper role so that we have a model-based knowledge of the ta...

SimQPN - A tool and methodology for analyzing queueing Petri net models by means of simulation

The queueing Petri net (QPN) paradigm provides a number of benefits over conventional modeling paradigms such as queueing networks and generalized stochastic Petri nets. Using queueing Petri nets (QPNs), one can integrate both hardware and software aspects of system behavior into the same model. This lends itself very well to modeling distributed component-based systems, such as modern e-busine...