Brief announcement: Object oriented consensus

Yehuda Afek, James Aspnes, Edo Cohen, Danny Vainstein

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


We suggest a template that reveals the structure of many consensus algorithms as a generic procedure. The template builds on a new object, vacillate-adopt-commit which is an extension of the well known adopt-commit object. In addition we extend Aspnes's conciliator object to a new object that we call a reconciliator. The consensus algorithm template works in rounds of alternating vacillate-adopt-commit and reconciliator operations. The vacillate-adopt-commit object observes the processors' preferences and suggests a preference output with a measure of confidence (vacillate, adopt or commit) on the preference. The reconciliator ensures termination, by providing new preferences for the processors. We show how several key consensus algorithms exactly fit our template. Here we demonstrate the decomposition of Ben-Or's randomized algorithm. The decomposition of the Phase King Byzantine and the Paxos algorithm are given in the full paper [1]. We analyze and compare our template based on vacillate-adopt-commit and reconciliator objects to previous work [3, 5], suggesting a decomposition of consensus based on adopt-commit and conciliator objects. We claim that the three return values of vacillate-adopt-commit more accurately describe existing algorithms.

Original languageEnglish
Title of host publicationPODC 2017 - Proceedings of the ACM Symposium on Principles of Distributed Computing
PublisherAssociation for Computing Machinery
Number of pages3
ISBN (Electronic)9781450349925
StatePublished - 26 Jul 2017
Event36th ACM Symposium on Principles of Distributed Computing, PODC 2017 - Washington, United States
Duration: 25 Jul 201727 Jul 2017

Publication series

NameProceedings of the Annual ACM Symposium on Principles of Distributed Computing
VolumePart F129314


Conference36th ACM Symposium on Principles of Distributed Computing, PODC 2017
Country/TerritoryUnited States


  • Adopt-commit
  • Consensus
  • Distributed algorithms


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