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Stochastic and Real Time in Process Algebra: A Conceptual Overview
Author(s) -
Mario Bravetti
Publication year - 2006
Publication title -
electronic notes in theoretical computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.242
H-Index - 60
ISSN - 1571-0661
DOI - 10.1016/j.entcs.2005.12.107
Subject(s) - process calculus , algebra over a field , semantics (computer science) , bounded function , process (computing) , field (mathematics) , domain (mathematical analysis) , computer science , discrete time and continuous time , stochastic process , domain theory , theoretical computer science , bisimulation , mathematics , discrete mathematics , pure mathematics , programming language , mathematical analysis , statistics
It is widely recognized that dealing with time related aspects in process algebra is often crucial for the specification and analysis of complex real systems. Research work in this field has led to a rather huge literature, where several kinds of time have been taken into account: time may be either based on a discrete or continuous domain, time elapsing may be either probabilistically (so-called stochastic-time) or deterministically (so-called real-time) bounded. In this paper we perform a conceptual dissertation about the treatment of the various kinds of time in transition systems where notions of composition are defined (as e.g. by defining a process algebra). We discuss general problems which are independent from the kind of time considered (concerning, e.g., the usual assumption of maximal progress of actions over time). Moreover, we show the conceptual relationship between the notion of time considered and the kind of semantics (in the sense of classical process algebra literature) which must be adopted for representing such a notion of time in the composition operators

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