SASA: a SimulAtor of Self-stabilizing Algorithms

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.