Brief Announcement: Reaching Approximate Consensus When Everyone May Crash

Authors Lewis Tseng, Qinzi Zhang, Yifan Zhang

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Author Details

Lewis Tseng
  • Boston College, Chestnut Hill, MA, USA
Qinzi Zhang
  • Boston College, Chestnut Hill, MA, USA
Yifan Zhang
  • Boston College, Chestnut Hill, MA, USA

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Lewis Tseng, Qinzi Zhang, and Yifan Zhang. Brief Announcement: Reaching Approximate Consensus When Everyone May Crash. In 34th International Symposium on Distributed Computing (DISC 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 179, pp. 53:1-53:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)


Fault-tolerant consensus is of great importance in distributed systems. This paper studies the asynchronous approximate consensus problem in the crash-recovery model with fair-loss links. In our model, up to f nodes may crash forever, while the rest may crash intermittently. Each node is equipped with a limited-size persistent storage that does not lose data when crashed. We present an algorithm that only stores three values in persistent storage - state, phase index, and a counter.

Subject Classification

ACM Subject Classification
  • Theory of computation → Distributed algorithms
  • Approximate Consensus
  • Fair-loss Channel
  • Crash-recovery


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