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Revisiting Optimal Resilience of Fast Byzantine Consensus

  • National Research University
  • San Jose State University

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Résumé

It is a common belief that Byzantine fault-tolerant solutions for consensus are significantly slower than their crash fault-tolerant counterparts. Indeed, in PBFT, the most widely known Byzantine fault-tolerant consensus protocol, it takes three message delays to decide a value, in contrast with just two in Paxos. This motivates the search for fast Byzantine consensus algorithms that can produce decisions after just two message delays in the common case, e.g., under the assumption that the current leader is correct and not suspected by correct processes. The (optimal) two-step latency comes with the cost of lower resilience: fast Byzantine consensus requires more processes to tolerate the same number of faults. In particular, 5f+1 processes were claimed to be necessary to tolerate f Byzantine failures. In this paper, we present a fast Byzantine consensus algorithm that relies on just 5f-1 processes. Moreover, we show that 5f-1 is the tight lower bound, correcting a mistake in the earlier work. While the difference of just 2 processes may appear insignificant for large values of f, it can be crucial for systems of a smaller scale. In particular, for f=1, our algorithm requires only 4 processes, which is optimal for any (not necessarily fast) partially synchronous Byzantine consensus algorithm.

langue originaleAnglais
titrePODC 2021 - Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing
EditeurAssociation for Computing Machinery
Pages343-353
Nombre de pages11
ISBN (Electronique)9781450385480
Les DOIs
étatPublié - 21 juil. 2021
Evénement40th ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing, PODC 2021 - Virtual, Online, Italie
Durée: 26 juil. 202130 juil. 2021

Série de publications

NomProceedings of the Annual ACM Symposium on Principles of Distributed Computing

Une conférence

Une conférence40th ACM SIGACT-SIGOPS Symposium on Principles of Distributed Computing, PODC 2021
Pays/TerritoireItalie
La villeVirtual, Online
période26/07/2130/07/21

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