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Generalised Multiparty Session Types with Crash-Stop Failures

Authors Adam D. Barwell , Alceste Scalas , Nobuko Yoshida , Fangyi Zhou

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ACM Subject Classification
  • Theory of computation → Distributed computing models
  • Theory of computation → Process calculi
  • Software and its engineering → Model checking
Keywords
  • Session Types
  • Concurrency
  • Failure Handling
  • Model Checking

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Abstract

Session types enable the specification and verification of communicating systems. However, their theory often assumes that processes never fail. To address this limitation, we present a generalised multiparty session type (MPST) theory with crash-stop failures, where processes can crash arbitrarily.
Our new theory validates more protocols and processes w.r.t. previous work. We apply minimal syntactic changes to standard session π-calculus and types: we model crashes and their handling semantically, with a generalised MPST typing system parametric on a behavioural safety property. We cover the spectrum between fully reliable and fully unreliable sessions, via optional reliability assumptions, and prove type safety and protocol conformance in the presence of crash-stop failures.
Introducing crash-stop failures has non-trivial consequences: writing correct processes that handle all crash scenarios can be difficult. Yet, our generalised MPST theory allows us to tame this complexity, via model checking, to validate whether a multiparty session satisfies desired behavioural properties, e.g. deadlock-freedom or liveness, even in presence of crashes. We implement our approach using the mCRL2 model checker, and evaluate it with examples extended from the literature.

Cite As Get BibTex

Adam D. Barwell, Alceste Scalas, Nobuko Yoshida, and Fangyi Zhou. Generalised Multiparty Session Types with Crash-Stop Failures. In 33rd International Conference on Concurrency Theory (CONCUR 2022). Leibniz International Proceedings in Informatics (LIPIcs), Volume 243, pp. 35:1-35:25, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2022) https://doi.org/10.4230/LIPIcs.CONCUR.2022.35

Author Details

Adam D. Barwell
  • Imperial College London, UK
Alceste Scalas
  • DTU Compute, Technical University of Denmark, Lyngby, Denmark
Nobuko Yoshida
  • Imperial College London, UK
Fangyi Zhou
  • Imperial College London, UK

Funding

Work supported by: EU Horizon 2020 project 830929; EPSRC grants EP/K011715/1, EP/K034413/1, EP/L00058X/1, EP/N027833/1, EP/N028201/1, EP/T006544/1, EP/T014709/1, EP/V000462/1, and NCSS/EPSRC VeTSS; Danmarks Industriens Fond 2020-0489.

Supplementary Materials

References

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