Model Checking Distributed Protocols in Must
We describe the design and implementation of Must, a framework for modeling and automatically verifying distributed systems. Must provides a concurrency API that supports multiple communication models, on top of a mainstream programming language, such as Rust. Given a program using this API, Must verifies it by means of a novel, optimal dynamic partial order reduction algorithm that maintains completeness and optimality for all communication models supported by the API. We use Must to design and verify models of distributed systems in an industrial context. We demonstrate the usability of Must’s API by modeling high-level system idioms (e.g., timeouts, leader election, versioning) as abstractions over the core API, and demonstrate Must’s scalability by verifying systems employed in production (e.g., replicated logs, distributed transaction management protocols), the verification of which lies beyond the capacity of previous model checkers.
Authors
- Dimitra Giannakopoulou
- Michalis Kokologiannakis (ORCID: https://orcid.org/0000-0002-7905-9739)
- Constantin Enea (ORCID: https://orcid.org/0000-0003-2727-8865)
- Rupak Majumdar (ORCID: https://orcid.org/0000-0003-2136-0542)
Institutions
- École Polytechnique (FR)
- ETH Zurich (CH)
- Max Planck Institute for Software Systems (DE)
- Dow Chemical (France) (FR)
- Bernstein Center for Computational Neuroscience Tübingen (DE)
- University of Tübingen (DE)
Publication Details
- Journal
- Proceedings of the ACM on Programming Languages
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1145/3689778
- Citations
- 3
- Primary Topic
- Distributed systems and fault tolerance
- Type
- article
- Field-Weighted Citation Impact
- 1.05