Abstract. A variant of Rate Transition Systems (RTS), proposed by Klin and Sassone, is introduced and used as the basic model for defining stochastic behaviour of processes. The transition relation used in our variant associates to each process, for each action, the set of possible futures paired with a measure indicating their rates. We show how RTS can be used for providing the operational semantics of stochastic extensions of classical formalisms, namely CSP and CCS. We also show that our semantics for stochastic CCS guarantees associativity of parallel composition. Similarly, in contrast with the original definition by Priami, we argue that a semantics for stochastic π-calculus can be provided that guarantees associativity of parallel c...
Stochastic behavior—the probabilistic evolution of a system in time—is essential to modeling the com...
AbstractStochastic behavior—the probabilistic evolution of a system in time—is essential to modeling...
We introduce a framework to study stochastic systems, i.e. systems in which the time of occurrence o...
Abstract. A variant of Rate Transition Systems (RTS), proposed by Klin and Sassone, is introduced an...
In this paper we show how Rate Transition Systems (RTSs) can be used as a unifying framework for the...
In this paper we show how Rate Transition Systems (RTSs) can be used as a unifying framework for the...
We introduce a unifying framework to provide the semantics of process algebras, including their quan...
Rate transition systems (RTS) are a special kind of transition systems introduced for defining the s...
Rate transition systems (RTS) are a special kind of transition systems introduced for defining the s...
Abstract In this paper, a new semantic model is proposed for characterizing the performance properti...
Abstract. We introduce a stochastic extension of CCS endowed with structural operational seman-tics ...
This paper introduces stochastic process algebras as an approach for the structured design and analy...
The stochastic process algebra MTIPP has emerged from research in the field of process descriptions ...
Abstract. We develop a version of stochastic Pi-calculus with a seman-tics based on measure theory. ...
AbstractThis paper introduces (pronounce spades), a stochastic process algebra for discrete event sy...
Stochastic behavior—the probabilistic evolution of a system in time—is essential to modeling the com...
AbstractStochastic behavior—the probabilistic evolution of a system in time—is essential to modeling...
We introduce a framework to study stochastic systems, i.e. systems in which the time of occurrence o...
Abstract. A variant of Rate Transition Systems (RTS), proposed by Klin and Sassone, is introduced an...
In this paper we show how Rate Transition Systems (RTSs) can be used as a unifying framework for the...
In this paper we show how Rate Transition Systems (RTSs) can be used as a unifying framework for the...
We introduce a unifying framework to provide the semantics of process algebras, including their quan...
Rate transition systems (RTS) are a special kind of transition systems introduced for defining the s...
Rate transition systems (RTS) are a special kind of transition systems introduced for defining the s...
Abstract In this paper, a new semantic model is proposed for characterizing the performance properti...
Abstract. We introduce a stochastic extension of CCS endowed with structural operational seman-tics ...
This paper introduces stochastic process algebras as an approach for the structured design and analy...
The stochastic process algebra MTIPP has emerged from research in the field of process descriptions ...
Abstract. We develop a version of stochastic Pi-calculus with a seman-tics based on measure theory. ...
AbstractThis paper introduces (pronounce spades), a stochastic process algebra for discrete event sy...
Stochastic behavior—the probabilistic evolution of a system in time—is essential to modeling the com...
AbstractStochastic behavior—the probabilistic evolution of a system in time—is essential to modeling...
We introduce a framework to study stochastic systems, i.e. systems in which the time of occurrence o...