AbstractProduct-form solutions in Markovian process algebra (MPA) are constructed using properties of reversed processes. The compositionality of MPAs is directly exploited, allowing a large class of hierarchically constructed systems to be solved for their state probabilities at equilibrium. The paper contains new results on both reversed stationary Markov processes as well as MPA itself and includes a mechanisable proof in MPA notation of Jackson's theorem for product-form queueing networks. Several examples are used to illustrate the approach
Process algebras are one of the main tools for modeling and analyzing concurrent systems. However, t...
Performance engineering often uses stochastic modelling as a powerful approach to the quantitative a...
The analysis of models specified with formalisms like Markovian process algebras or stochastic autom...
AbstractProduct-form solutions in Markovian process algebra (MPA) are constructed using properties o...
AbstractThe reversed compound agent theorem (RCAT) is a compositional result that uses Markovian pro...
Product-form models are a class of Markovian models whose steady-state solution can be computed effi...
AbstractA generalization of the Reversed Compound Agent Theorem of Markovian process algebra is deri...
Markovian Process Algebra (MPA) is a process algebra enhanced with exponential timing which allows t...
A new algorithm is given to find product-form solutions for the joint equilibrium probabilities in a...
Abstract: In the study of stochastic process algebra it is necessary to consider not only how system...
In this paper we provide a general method to derive product-form solutions for stochastic models. We...
This paper surveys and relates the basic concepts of process algebra and the modelling of continuous...
This paper surveys and relates the basic concepts of process algebra and the modelling of continuous...
Process algebras are one of the main tools for modeling and analyzing concurrent systems. However, t...
Performance engineering often uses stochastic modelling as a powerful approach to the quantitative a...
The analysis of models specified with formalisms like Markovian process algebras or stochastic autom...
AbstractProduct-form solutions in Markovian process algebra (MPA) are constructed using properties o...
AbstractThe reversed compound agent theorem (RCAT) is a compositional result that uses Markovian pro...
Product-form models are a class of Markovian models whose steady-state solution can be computed effi...
AbstractA generalization of the Reversed Compound Agent Theorem of Markovian process algebra is deri...
Markovian Process Algebra (MPA) is a process algebra enhanced with exponential timing which allows t...
A new algorithm is given to find product-form solutions for the joint equilibrium probabilities in a...
Abstract: In the study of stochastic process algebra it is necessary to consider not only how system...
In this paper we provide a general method to derive product-form solutions for stochastic models. We...
This paper surveys and relates the basic concepts of process algebra and the modelling of continuous...
This paper surveys and relates the basic concepts of process algebra and the modelling of continuous...
Process algebras are one of the main tools for modeling and analyzing concurrent systems. However, t...
Performance engineering often uses stochastic modelling as a powerful approach to the quantitative a...
The analysis of models specified with formalisms like Markovian process algebras or stochastic autom...