Steady-state simulation of queueing processes: survey of problems and solutions
ACM Computing Surveys (CSUR)
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Performance modelling of distributed e-business applications using Queuing Petri Nets
ISPASS '03 Proceedings of the 2003 IEEE International Symposium on Performance Analysis of Systems and Software
Performance Modeling and Evaluation of Distributed Component-Based Systems Using Queueing Petri Nets
IEEE Transactions on Software Engineering
Autonomic QoS-Aware resource management in grid computing using online performance models
Proceedings of the 2nd international conference on Performance evaluation methodologies and tools
A Methodology for Performance Modeling of Distributed Event-Based Systems
ISORC '08 Proceedings of the 2008 11th IEEE Symposium on Object Oriented Real-Time Distributed Computing
The Palladio component model for model-driven performance prediction
Journal of Systems and Software
Autonomic QoS control in enterprise Grid environments using online simulation
Journal of Systems and Software
Automated Transformation of Component-Based Software Architecture Models to Queueing Petri Nets
MASCOTS '11 Proceedings of the 2011 IEEE 19th Annual International Symposium on Modelling, Analysis, and Simulation of Computer and Telecommunication Systems
Automated simulation-based capacity planning for enterprise data fabrics
Proceedings of the 4th International ICST Conference on Simulation Tools and Techniques
Constructing performance model of JMS middleware platform
Proceedings of the 5th ACM/SPEC international conference on Performance engineering
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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.