Computing steady-state distributions in infinite-state stochastic systems is in general a very difficult task. Product-form Petri nets are those Petri nets for which the steady-state distribution can be described as a natural product corresponding, up to a normalising constant, to an exponentiation of the markings. However, even though some classes of nets are known to have a product-form distribution, computing the normalising constant can be hard. The class of (closed) Pi^3-nets has been proposed in an earlier work, for which it is shown that one can compute the steady-state distribution efficiently. However these nets are bounded. In this paper, we generalise queuing Markovian networks and closed Pi^3-nets to obtain the class of open Pi^...
Performance evaluation of large distributed systems plays a pivotal role in the design of Internet o...
In this paper we investigate the efficiency of two solution approaches to infinite stochastic Petri ...
In this thesis, a class of Stochastic Petri Nets, called Local Balance Stochastic Petri Nets, and a ...
31 pagesInternational audienceComputing steady-state distributions in infinite-state stochastic syst...
This is a version including proofs of the conference paper: Haddad, Mairesse and Nguyen. Synthesis a...
The model of Stochastic Petri nets (SPN) with a product form solution (Π-net) is a class ofnets for ...
Networks of queues with product-form equilibrium distributions are well established and have applica...
Stochastic Petri nets are an important formalism used for the performance evaluation of computer and...
Markovian models play a pivotal role in system performance evaluation field. Several high level form...
Reliability analysis is often based on stochastic discrete event models like Markov models or stocha...
We characterize a class of stochastic Petri nets that can be solved using matrix geometric technique...
It is shown that the behavior of extended limited-choice Petri nets with exponentially distributed f...
It is shown that the behavior of timed Petri nets with deterministic firing times (D-timed nets) and...
In M-timed Petri nets, firing times are exponentially distributed random variables associated with t...
Product-forms in StochasticPetrinets (SPNs) are obtained by a compositional technique for the first ...
Performance evaluation of large distributed systems plays a pivotal role in the design of Internet o...
In this paper we investigate the efficiency of two solution approaches to infinite stochastic Petri ...
In this thesis, a class of Stochastic Petri Nets, called Local Balance Stochastic Petri Nets, and a ...
31 pagesInternational audienceComputing steady-state distributions in infinite-state stochastic syst...
This is a version including proofs of the conference paper: Haddad, Mairesse and Nguyen. Synthesis a...
The model of Stochastic Petri nets (SPN) with a product form solution (Π-net) is a class ofnets for ...
Networks of queues with product-form equilibrium distributions are well established and have applica...
Stochastic Petri nets are an important formalism used for the performance evaluation of computer and...
Markovian models play a pivotal role in system performance evaluation field. Several high level form...
Reliability analysis is often based on stochastic discrete event models like Markov models or stocha...
We characterize a class of stochastic Petri nets that can be solved using matrix geometric technique...
It is shown that the behavior of extended limited-choice Petri nets with exponentially distributed f...
It is shown that the behavior of timed Petri nets with deterministic firing times (D-timed nets) and...
In M-timed Petri nets, firing times are exponentially distributed random variables associated with t...
Product-forms in StochasticPetrinets (SPNs) are obtained by a compositional technique for the first ...
Performance evaluation of large distributed systems plays a pivotal role in the design of Internet o...
In this paper we investigate the efficiency of two solution approaches to infinite stochastic Petri ...
In this thesis, a class of Stochastic Petri Nets, called Local Balance Stochastic Petri Nets, and a ...