The design of languages supporting network programming is a necessary step towards the formalisation of distributed and mobile computing. The existence of an abstract semantic framework constitutes the basis for a formal analysis of such systems. The KLAIM paradigm [5] provides such a semantic framework by introducing basic concepts and primitives addressing the key aspects of the coordination of interacting located processes. We extend this basic paradigm with probabilistic constructs with the aim of introducing a semantic basis for a quantitative analysis of networks.

Continuous-Time Probabilistic KLAIM

Di Pierro, Alessandra
;
2005-01-01

Abstract

The design of languages supporting network programming is a necessary step towards the formalisation of distributed and mobile computing. The existence of an abstract semantic framework constitutes the basis for a formal analysis of such systems. The KLAIM paradigm [5] provides such a semantic framework by introducing basic concepts and primitives addressing the key aspects of the coordination of interacting located processes. We extend this basic paradigm with probabilistic constructs with the aim of introducing a semantic basis for a quantitative analysis of networks.
2005
Distributed programming, Probabilistic semantics, Continuous-time Markov chains
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11562/990566
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