ACM Transactions on Computer Systems (TOCS)
Petri nets: an introduction
Stochastic Automata Network of Modeling Parallel Systems
IEEE Transactions on Software Engineering
Efficient descriptor-vector multiplications in stochastic automata networks
Journal of the ACM (JACM)
Using the exact state space of a Markov model to compute approximate stationary measures
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Hierarchical Reachability Graph Generation for Petri Nets
Formal Methods in System Design
An Efficient Kronecker Representation for PEPA Models
PAPM-PROBMIV '01 Proceedings of the Joint International Workshop on Process Algebra and Probabilistic Methods, Performance Modeling and Verification
Efficient Reachability Set Generation and Storage Using Decision Diagrams
Proceedings of the 20th International Conference on Application and Theory of Petri Nets
Superposed Generalized Stochastic Petri Nets: Definition and Efficient Solution
Proceedings of the 15th International Conference on Application and Theory of Petri Nets
INFORMS Journal on Computing
Efficient Solution of GSPNs Using Canonical Matrix Diagrams
PNPM '01 Proceedings of the 9th international Workshop on Petri Nets and Performance Models (PNPM'01)
Data structures for the analysis of large structured markov models
Data structures for the analysis of large structured markov models
Kronecker products and shuffle algebra
IEEE Transactions on Computers
Hi-index | 0.00 |
This paper presents a framework to decompose a single GSPN model into a set of small interacting models. This decomposition technique can be applied to any GSPN model with a finite set of tangible markings and a generalized tensor algebra (Kronecker) representation can be produced automatically. The numerical impact of all the possible decompositions obtained by our technique is discussed. To do so we draw the comparison of the results for some practical examples. Finally, we present all the computational gains achieved by our technique, as well as the future extensions of this concept for other structured formalisms.