z-logo
open-access-imgOpen Access
A Stochastic Causality-Based Process Algebra
Author(s) -
Ed Brinksma,
Joost-Pieter Katoen,
Rom Langerak,
Diego Latella
Publication year - 1995
Publication title -
the computer journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.319
H-Index - 64
eISSN - 1460-2067
pISSN - 0010-4620
DOI - 10.1093/comjnl/38.7.552
Subject(s) - erlang (programming language) , phase type distribution , stochastic process , causality (physics) , simple (philosophy) , continuous time stochastic process , erlang distribution , exponential function , random variable , event (particle physics) , mathematics , exponential distribution , computer science , probability distribution , extension (predicate logic) , theoretical computer science , statistics , mathematical analysis , programming language , functional programming , philosophy , physics , epistemology , quantum mechanics
This paper discusses stochastic extensions of a simple process algebra in a causalitybasedsetting. Atomic actions are supposed to happen after a delay that is determinedby a stochastic variable with a certain distribution. A simple stochastic typeof event structures is discussed, restricting the distribution functions to be exponential.A corresponding operational semantics of this model is given and comparedto existing (interleaved) approaches. Secondly, a stochastic variant of event...

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom