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A parametric framework for reversible π-calculi.

Authors :
Medić, Doriana
Mezzina, Claudio Antares
Phillips, Iain
Yoshida, Nobuko
Source :
Information & Computation. Dec2020, Vol. 275, pN.PAG-N.PAG. 1p.
Publication Year :
2020

Abstract

This paper presents a study of causality in a reversible, concurrent setting. There exist various notions of causality in π -calculus, which differ in the treatment of parallel extrusions of the same name. Hence, by using a parametric way of bookkeeping the order and the dependencies among extruders it is possible to map different causal semantics into the same framework. Starting from this simple observation, we present a uniform framework for reversible π -calculi that is parametric with respect to a data structure that stores information about the extrusion of a name. Different data structures yield different approaches to the parallel extrusion problem. We map three well-known causal semantics into our framework. We prove causal-consistency for the three instances of our framework. Furthermore, we prove a causal correspondence between the appropriate instances of the framework and the Boreale-Sangiorgi semantics and an operational correspondence with the reversible π -calculus causal semantics. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08905401
Volume :
275
Database :
Academic Search Index
Journal :
Information & Computation
Publication Type :
Academic Journal
Accession number :
147203674
Full Text :
https://doi.org/10.1016/j.ic.2020.104644