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Conference Papers Year : 2020

SASA: a SimulAtor of Self-stabilizing Algorithms

Karine Altisen
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Stéphane Devismes
Erwan Jahier

Abstract

We present SASA, an open-source SimulAtor of Self-stabilizing Algorithms. Self-stabilization defines the ability of a distributed algorithm to recover after transient failures. SASA is implemented as a faithful representation of the atomic-state model. This model is the most commonly used in the self-stabilizing area to prove both the correct operation and complexity bounds of self-stabilizing algorithms. SASA encompasses all features necessary to debug, test, and analyze self-stabilizing algorithms. Algorithm's properties can be checked using formal test oracles. Asynchrony is modeled by programmable stochastic daemons playing the role of input sequence generators.
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Dates and versions

hal-02521149 , version 4 (18-04-2020)
hal-02521149 , version 5 (23-03-2022)

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Karine Altisen, Stéphane Devismes, Erwan Jahier. SASA: a SimulAtor of Self-stabilizing Algorithms. 14th International Conference on Tests and Proofs, Jun 2020, Bergen, Norway. ⟨10.1007/978-3-030-50995-8⟩. ⟨hal-02521149v5⟩
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