SMT and POR beat counter abstraction: Parameterized model checking of threshold-based distributed algorithms

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Abstract

Automatic verification of threshold-based fault-tolerant distributed algorithms (FTDA) is challenging: they have multiple parameters that are restricted by arithmetic conditions, the number of processes and faults is parameterized, and the algorithm code is parameterized due to conditions counting the number of received messages. Recently, we introduced a technique that first applies data and counter abstraction and then runs bounded model checking (BMC). Given an FTDA, our technique computes an upper bound on the diameter of the system. This makes BMC complete: it always finds a counterexample, if there is an actual error. To verify state-of-the-art FTDAs, further improvement is needed. In this paper, we encode bounded executions over integer counters in SMT. We introduce a new form of offline partial order reduction that exploits acceleration and the structure of the FTDAs. This aggressively prunes the execution space to be explored by the solver. In this way, we verified safety of seven FTDAs that were out of reach before.

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Konnov, I., Veith, H., & Widder, J. (2015). SMT and POR beat counter abstraction: Parameterized model checking of threshold-based distributed algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9206, pp. 85–102). Springer Verlag. https://doi.org/10.1007/978-3-319-21690-4_6

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