QPME 2.0 - A Tool for Stochastic 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 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

Modeling and Performance Evaluation of Energy Consumption in S-MAC Protocol Using Generalized Stochastic Petri Nets

One of the features of wireless sensor networks is that the nodes in this network have limited power sources. Therefore, assessment of energy consumption in these networks is very important. What has been common practice has been the use of traditional simulators to evaluate the energy consumption of the nodes in these networks. Simulators often have problems such as fluctuating output values i...

Performance and Dependability Modeling with Stochastic Petri Nets

While measurement is a valuable option for assessing an existing system or a prototype, it is not a feasible option during the system design and implementation phases. Model-based evaluation has proven to be an attractive alternative in these cases. A model is an abstraction of a system that includes sufficient detail to facilitate an understanding of system behavior. Several modeling paradigms...