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Monitoring Networks through Multiparty Session Types

Bocchi, Laura, Chen, Tzu-Chun, Demangeon, Romain, Honda, Kohei, Yoshida, Nobuko (2017) Monitoring Networks through Multiparty Session Types. Theoretical Computer Science, 669 . pp. 33-58. ISSN 0304-3975. (doi:10.1016/j.tcs.2017.02.009) (KAR id:60279)

Abstract

In large-scale distributed infrastructures, applications are realised through communications among distributed components. The need for methods for assuring safe interactions in such environments is recognised, however the existing frameworks, relying on centralised verification or restricted specification methods, have limited applicability. This paper proposes a new theory of monitored π-calculus with dynamic usage of multiparty session types (MPST), offering a rigorous foundation for safety assurance of distributed components which asynchronously communicate through multiparty sessions. Our theory establishes a framework for semantically precise decentralised run-time enforcement and provides reasoning principles over monitored distributed applications, which complement existing static analysis techniques. We introduce asynchrony through the means of explicit routers and global queues, and propose novel equivalences between networks, that capture the notion of interface equivalence, i.e. equating networks offering the same services to a user. We illustrate our static–dynamic analysis system with an ATM protocol as a running example and justify our theory with results: satisfaction equivalence, local/global safety and transparency, and session fidelity.

Item Type: Article
DOI/Identification number: 10.1016/j.tcs.2017.02.009
Uncontrolled keywords: Session types; The ?-calculus; Dynamic monitoring; Runtime verification; Bisimulation
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Laura Bocchi
Date Deposited: 09 Feb 2017 10:55 UTC
Last Modified: 04 Jul 2023 13:44 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/60279 (The current URI for this page, for reference purposes)

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