Verification of randomized consensus algorithms under round-rigid adversaries

Author:

Bertrand Nathalie,Konnov Igor,Lazić Marijana,Widder Josef

Abstract

AbstractRandomized fault-tolerant distributed algorithms pose a number of challenges for automated verification: (i) parameterization in the number of processes and faults, (ii) randomized choices and probabilistic properties, and (iii) an unbounded number of asynchronous rounds. This combination makes verification hard. Challenge (i) was recently addressed in the framework of threshold automata. We extend threshold automata to model randomized consensus algorithms that perform an unbounded number of asynchronous rounds. For non-probabilistic properties, we show that it is necessary and sufficient to verify these properties under round-rigid schedules, that is, schedules where processes enter round r only after all processes finished round $$r-1$$ r - 1 . For almost-sure termination, we analyze these algorithms under round-rigid adversaries, that is, fair adversaries that only generate round-rigid schedules. This allows us to do compositional and inductive reasoning that reduces verification of the asynchronous multi-round algorithms to model checking of a one-round threshold automaton. We apply this framework and automatically verify the following classic algorithms: Ben-Or’s and Bracha’s seminal consensus algorithms for crashes and Byzantine faults, 2-set agreement for crash faults, and RS-Bosco for the Byzantine case.

Publisher

Springer Science and Business Media LLC

Subject

Information Systems,Software

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Verifying Randomized Consensus Protocols with Common Coins;2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN);2024-06-24

2. On methods and tools for rigorous system design;International Journal on Software Tools for Technology Transfer;2021-06-22

3. Correction to: Verification of randomized consensus algorithms under round-rigid adversaries;International Journal on Software Tools for Technology Transfer;2021-05-30

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