License: Creative Commons Attribution 4.0 International license (CC BY 4.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.DISC.2023.26
URN: urn:nbn:de:0030-drops-191525
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2023/19152/
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Keidar, Idit ; Naor, Oded ; Poupko, Ouri ; Shapiro, Ehud

Cordial Miners: Fast and Efficient Consensus for Every Eventuality

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LIPIcs-DISC-2023-26.pdf (2 MB)

Abstract

Cordial Miners are a family of efficient Byzantine Atomic Broadcast protocols, with instances for asynchrony and eventual synchrony. They improve the latency of state-of-the-art DAG-based protocols by almost 2× and achieve optimal good-case complexity of O(n) by forgoing Reliable Broadcast as a building block. Rather, Cordial Miners use the blocklace - a partially-ordered counterpart of the totally-ordered blockchain data structure - to implement the three algorithmic components of consensus: Dissemination, equivocation-exclusion, and ordering.

BibTeX - Entry

@InProceedings{keidar_et_al:LIPIcs.DISC.2023.26,
  author =	{Keidar, Idit and Naor, Oded and Poupko, Ouri and Shapiro, Ehud},
  title =	{{Cordial Miners: Fast and Efficient Consensus for Every Eventuality}},
  booktitle =	{37th International Symposium on Distributed Computing (DISC 2023)},
  pages =	{26:1--26:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-301-0},
  ISSN =	{1868-8969},
  year =	{2023},
  volume =	{281},
  editor =	{Oshman, Rotem},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/opus/volltexte/2023/19152},
  URN =		{urn:nbn:de:0030-drops-191525},
  doi =		{10.4230/LIPIcs.DISC.2023.26},
  annote =	{Keywords: Byzantine Fault Tolerance, State Machine Replication, DAG, Consensus, Blockchain, Blocklace, Cordial Dissemination}
}

Keywords: Byzantine Fault Tolerance, State Machine Replication, DAG, Consensus, Blockchain, Blocklace, Cordial Dissemination
Collection: 37th International Symposium on Distributed Computing (DISC 2023)
Issue Date: 2023
Date of publication: 05.10.2023

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