Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Conferences, Workshops, Symposiums, and Seminars
  4. Token-based Atomic Broadcast using Unreliable Failure Detectors
 
conference paper

Token-based Atomic Broadcast using Unreliable Failure Detectors

Ekwall, Richard
•
Schiper, André  
•
Urbán, Péter
2004
Proceedings of the 23rd Symposium on Reliable Distributed Systems (SRDS 2004)

Many atomic broadcast algorithms have been published in the last twenty years. Token-based algorithms represent a large class of these algorithms. Interestingly, all the token-based atomic broadcast algorithms rely on a group membership service, i.e., none of them uses unreliable failure detectors directly. The paper presents the first token-based atomic broadcast algorithm that uses an unreliable failure detector - the new failure detector denoted by R - instead of a group membership service. The failure detector R is compared with <>P and <>S. In order to make it easier to understand the atomic broadcast algorithm, the paper derives the atomic broadcast algorithm from a token-based consensus algorithm that also uses the failure detector R.

  • Files
  • Details
  • Metrics
Type
conference paper
Author(s)
Ekwall, Richard
Schiper, André  
Urbán, Péter
Date Issued

2004

Published in
Proceedings of the 23rd Symposium on Reliable Distributed Systems (SRDS 2004)
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LSR-IC  
Available on Infoscience
May 20, 2005
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/213634
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés