This paper describes the GreatSPN 1.7 package for the modeling, validation, and performance evaluation of distributed systems using Generalized Stochastic Petri Nets and their colored extension. The tool provides a friendly framework to experiment with timed Petri net based modeling techniques. It implements efficient analysis algorithms to allow its use on “real” applications, not only toy examples. Developed in a university for non-profit purposes, it is distributed free of charge to other universities for educational and research purposes. An overview of the complete architecture of the package is given together with examples of its application. Then the various analysis and simulation modules are described
GreatSPN is a tool that supports the design and the qualitative and quantitative analysis of General...
Generalized Stochastic Petri Nets (GSPN) represent an assessed formal methodology for performance an...
A class of Petri nets in which transitions can fire either immediately or after an exponentially dis...
This paper describes the GreatSPN 1.7 package for the modeling, validation, and performance evaluati...
This paper describes the GreatSPN 1.7 package for the modeling, validation, and performance evaluati...
GreatSPN is a tool for the stochastic analysis of systems modeled as (stochastic) Petri nets. This c...
GreatSPN is a tool for the stochastic analysis of systems modeled as (stochastic) Petri nets. This c...
The paper decribes the GSPN approach to the performance evaluation of distributed systems. The struc...
A Petri-net-based approach to evaluating the performance of distributed systems is described. The st...
This chapter discusses the role that Generalized Stochastic Petri Nets (GSPN) can play in the static...
This chapter discusses the role that Generalized Stochastic Petri Nets (GSPN) can play in the static...
di Torino, Turin, Italy Generalized Stochastic Petri Nets (GSPNs) are presented and are applied to t...
Abstract. GreatSPN is a tool for the definition and solution of Generalized Stochas-tic Petri Nets (...
We report the results of an investigation aiming at experimenting the use of Generalized Stochastic ...
Abstract: We present a generalized stochastic high-level Petri net (GSHLPN) model for evaluating the...
GreatSPN is a tool that supports the design and the qualitative and quantitative analysis of General...
Generalized Stochastic Petri Nets (GSPN) represent an assessed formal methodology for performance an...
A class of Petri nets in which transitions can fire either immediately or after an exponentially dis...
This paper describes the GreatSPN 1.7 package for the modeling, validation, and performance evaluati...
This paper describes the GreatSPN 1.7 package for the modeling, validation, and performance evaluati...
GreatSPN is a tool for the stochastic analysis of systems modeled as (stochastic) Petri nets. This c...
GreatSPN is a tool for the stochastic analysis of systems modeled as (stochastic) Petri nets. This c...
The paper decribes the GSPN approach to the performance evaluation of distributed systems. The struc...
A Petri-net-based approach to evaluating the performance of distributed systems is described. The st...
This chapter discusses the role that Generalized Stochastic Petri Nets (GSPN) can play in the static...
This chapter discusses the role that Generalized Stochastic Petri Nets (GSPN) can play in the static...
di Torino, Turin, Italy Generalized Stochastic Petri Nets (GSPNs) are presented and are applied to t...
Abstract. GreatSPN is a tool for the definition and solution of Generalized Stochas-tic Petri Nets (...
We report the results of an investigation aiming at experimenting the use of Generalized Stochastic ...
Abstract: We present a generalized stochastic high-level Petri net (GSHLPN) model for evaluating the...
GreatSPN is a tool that supports the design and the qualitative and quantitative analysis of General...
Generalized Stochastic Petri Nets (GSPN) represent an assessed formal methodology for performance an...
A class of Petri nets in which transitions can fire either immediately or after an exponentially dis...