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Journal Articles Information and Computation Year : 2023

Synchronous t-resilient consensus in arbitrary graphs

Armando Castañeda
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Ami Paz
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Sergio Rajsbaum
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Corentin Travers
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We study the number of rounds needed to solve consensus in a synchronous network G where at most t nodes may fail by crashing. This problem has been thoroughly studied when G is a complete graph, but very little is known when G is arbitrary. We define a notion of radius(G, t), that extends the standard graph theoretical notion of radius, for considering all the ways in which t nodes may crash, and we present an algorithm that solves consensus in radius(G, t) rounds. Then we derive a lower bound showing that, among oblivious algorithms, our algorithm is optimal for a large family of graphs including all vertex-transitive graphs.
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Dates and versions

hal-04287975 , version 1 (15-11-2023)



Armando Castañeda, Pierre Fraigniaud, Ami Paz, Sergio Rajsbaum, Matthieu Roy, et al.. Synchronous t-resilient consensus in arbitrary graphs. Information and Computation, 2023, 292, pp.105035. ⟨10.1016/j.ic.2023.105035⟩. ⟨hal-04287975⟩
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