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Relational Structures for Interval Order Semantics of Concurrent Systems

Lookup NU author(s): Professor Maciej KoutnyORCiD, Dr Lukasz Mikulski

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

Relational structures like partial orders that are based on acyclic relations capturing a 'before' relationship, can provide versatile frameworks for the modelling and verification of a wide class of concurrent systems behaviour. There are also relational structures with an acyclic ‘before’ (strong precedence) relationship and a possibly cyclic ‘not later than’ (weak precedence) relationship, which can be used for more general concurrent behaviours. However, in each of these cases, the execution model is based on sequences or step sequences of executed actions, where actions are assumed to be executed instantaneously. In this paper, we drop this restriction and consider executions modelled by interval orders, where actions are assumed to be executed non-instantaneously. For this execution model, we introduce new relational structures which can capture both strong precedence and weak precedence. This is achieved, in particular, thanks to a novel notion of acyclicity where any mixed cycle of strong and weak precedence is allowed, provided that it contains at least two consecutiveweak precedence relationships.


Publication metadata

Author(s): Janicki R, Kleijn J, Koutny M, Mikulski L

Editor(s): Kristensen LM; van der Werf JM

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 45th International Conference on Theory and Application of Petri Nets and Concurrency

Year of Conference: 2024

Pages: 153-174

Print publication date: 13/06/2024

Online publication date: 13/06/2024

Acceptance date: 27/03/2024

Date deposited: 09/04/2024

ISSN: 0302-9743

Publisher: Springer Cham

URL: https://doi.org/10.1007/978-3-031-61433-0_8

DOI: 10.1007/978-3-031-61433-0_8

ePrints DOI: 10.57711/72rs-2t87

Library holdings: Search Newcastle University Library for this item

Series Title: Lecture Notes in Computer Science

ISBN: 9783031614323


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