A Generic Efficient Biased Optimizer for Consensus Protocols

Yehonatan Buchnik, Roy Friedman

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Consensus is one of the most fundamental distributed computing problems. In particular, it serves as a building block in many replication based fault-tolerant systems and in particular in multiple recent blockchain solutions. Depending on its exact variant and other environmental assumptions, solving consensus requires multiple communication rounds. Yet, there are known optimistic protocols that guarantee termination in a single communication round under favorable conditions. In this paper we present a generic optimizer that can turn any consensus protocol into an optimized protocol that terminates in a single communication round whenever all nodes start with the same predetermined value and no Byzantine failures occur (although node crashes are allowed). This is regardless of the network timing assumptions and additional oracle capabilities assumed by the base consensus protocol being optimized. In the case of benign failures, our optimizer works whenever the number of faulty nodes f < n/2. For Byzantine behavior, our optimizer's resiliency depends on the validity variant sought. In the case of classical validity, it can accommodate f < n/4 Byzantine failures. With the more recent external validity function assumption, it works whenever f < n/3. Either way, our optimizer only relies on oral messages, thereby imposing very lightweight crypto requirements.

Original languageEnglish
Title of host publicationACM International Conference Proceeding Series
DOIs
StatePublished - 2020
Event21st International Conference on Distributed Computing and Networking, ICDCN 2020 - Kolkata, India
Duration: 4 Jan 20207 Jan 2020

Publication series

NameACM International Conference Proceeding Series
VolumePart F165625

Conference

Conference21st International Conference on Distributed Computing and Networking, ICDCN 2020
Country/TerritoryIndia
CityKolkata
Period4/01/207/01/20

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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