ACM Transactions on Computer Systems (TOCS)
A decomposition approach for stochastic reward net models
Performance Evaluation
Markov regenerative stochastic Petri nets
Performance '93 Proceedings of the 16th IFIP Working Group 7.3 international symposium on Computer performance modeling measurement and evaluation
Fast simulation of packet loss rates in a shared buffer communications switch
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Probability and statistics with reliability, queuing and computer science applications
Probability and statistics with reliability, queuing and computer science applications
Petri Net Theory and the Modeling of Systems
Petri Net Theory and the Modeling of Systems
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Performance Evaluation of Client-Server Systems
IEEE Transactions on Parallel and Distributed Systems
Discrete-Event Simulation of Fluid Stochastic Petri Nets
IEEE Transactions on Software Engineering
SPNP: Stochastic Petri Net Package
PNPM '89 The Proceedings of the Third International Workshop on Petri Nets and Performance Models
Transient Analysis of Deterministic and Stochastic Petri Nets
Proceedings of the 14th International Conference on Application and Theory of Petri Nets
Preemptive repeat identical transitions in Markov regenerative stochastic Petri nets
PNPM '95 Proceedings of the Sixth International Workshop on Petri Nets and Performance Models
A proactive approach towards always-on availability in broadband cable networks
Computer Communications
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Performance along with dependability analysis is a tremendous challenge in the design or improvement of modern complex systems. Two different classes of solution methods are generally used: analytic-numeric methods and simulation methods. As most of the literature explains, the choice between them depends more on the analyst's background than on the system itself. In this paper, we illustrate the advantages and drawbacks of each method on real problems and compare the results. Finally we conclude the paper providing some hints to choose a solution method depending on the model. We use SPNP, a Petri net analysis package, and CSIM 19, as simulation package to model and evaluate systems.