On the Decidability of Distributed Tasks with Output Sets under Asynchrony and Any Number of Crashes

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Main Authors: Albouy, Timothé, Anta, Antonio Fernández, Georgiou, Chryssis, Nicolaou, Nicolas, Wang, Junlang
Format: Preprint
Published: 2026
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author Albouy, Timothé
Anta, Antonio Fernández
Georgiou, Chryssis
Nicolaou, Nicolas
Wang, Junlang
author_facet Albouy, Timothé
Anta, Antonio Fernández
Georgiou, Chryssis
Nicolaou, Nicolas
Wang, Junlang
contents In this paper, we define a new class of distributed tasks, called SOS tasks (for Set of Output Sets tasks), defined by the set $O$ of distinct output sets of values that can be produced. We then demonstrate that this class of tasks is decidable: there exists an effective procedure that determines whether any SOS task is solvable asynchronously under $t$ crashes. The decision rule is as follows. Every SOS task is solvable when $t=0$. For $t > 0$, an SOS task is solvable if and only if its SOS graph $G=(O,\subset)$ is connected. In this graph, each vertex is an output set in $O$, and two vertices are linked by an edge whenever one output set includes the other. One of the surprising implications of our results is that, without a validity property, $k$-set agreement is solvable under any number of crashes $t \geq 0$ for $k>1$, and unsolvable under $t >0$ crashes only for $k=1$ (consensus). Finally, we study a novel family of tasks called $d$-disagreement, which requires the system to always produce $d$ different output values, and we show that its implementability condition is related to the harmonic series.
format Preprint
id arxiv_https___arxiv_org_abs_2604_06920
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle On the Decidability of Distributed Tasks with Output Sets under Asynchrony and Any Number of Crashes
Albouy, Timothé
Anta, Antonio Fernández
Georgiou, Chryssis
Nicolaou, Nicolas
Wang, Junlang
Distributed, Parallel, and Cluster Computing
In this paper, we define a new class of distributed tasks, called SOS tasks (for Set of Output Sets tasks), defined by the set $O$ of distinct output sets of values that can be produced. We then demonstrate that this class of tasks is decidable: there exists an effective procedure that determines whether any SOS task is solvable asynchronously under $t$ crashes. The decision rule is as follows. Every SOS task is solvable when $t=0$. For $t > 0$, an SOS task is solvable if and only if its SOS graph $G=(O,\subset)$ is connected. In this graph, each vertex is an output set in $O$, and two vertices are linked by an edge whenever one output set includes the other. One of the surprising implications of our results is that, without a validity property, $k$-set agreement is solvable under any number of crashes $t \geq 0$ for $k>1$, and unsolvable under $t >0$ crashes only for $k=1$ (consensus). Finally, we study a novel family of tasks called $d$-disagreement, which requires the system to always produce $d$ different output values, and we show that its implementability condition is related to the harmonic series.
title On the Decidability of Distributed Tasks with Output Sets under Asynchrony and Any Number of Crashes
topic Distributed, Parallel, and Cluster Computing
url https://arxiv.org/abs/2604.06920