Stochastic reasoning about channel-based component connectors. Baier, C. & Wolf, V. Volume 4038 LNCS , 2006. abstract bibtex Constraint automata have been used as an operational model for component connectors that coordinate the cooperation and communication of the components by means of a network of channels. In this paper, we introduce a variant of constraint automata (called continuous-time constraint automata) that allows us to specify time-dependent stochastic assumptions about the channel connections or the component interfaces, such as the arrival rates of communication requests, the average delay of enabled I/O-operations at the channel ends or the stochastic duration of internal computations. This yields the basis for a performance analysis of channel-based coordination mechanisms. We focus on compositional reasoning and discuss several bisimulation relations on continuous-time constraint automata. For this, we adapt notions of strong and weak bisimulation that have been introduced for similar stochastic models and introduce a new notion of weak bisimulation which abstracts away from invisible non-stochastic computations as well as the internal stochastic evolution. © Springer-Verlag Berlin Heidelberg 2006.
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abstract = {Constraint automata have been used as an operational model for component connectors that coordinate the cooperation and communication of the components by means of a network of channels. In this paper, we introduce a variant of constraint automata (called continuous-time constraint automata) that allows us to specify time-dependent stochastic assumptions about the channel connections or the component interfaces, such as the arrival rates of communication requests, the average delay of enabled I/O-operations at the channel ends or the stochastic duration of internal computations. This yields the basis for a performance analysis of channel-based coordination mechanisms. We focus on compositional reasoning and discuss several bisimulation relations on continuous-time constraint automata. For this, we adapt notions of strong and weak bisimulation that have been introduced for similar stochastic models and introduce a new notion of weak bisimulation which abstracts away from invisible non-stochastic computations as well as the internal stochastic evolution. © Springer-Verlag Berlin Heidelberg 2006.},
bibtype = {book},
author = {Baier, C. and Wolf, V.}
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