Consensus Under Failure

Consensus Under Failure is a fault-tolerant distributed computing problem concerned with designing and analyzing algorithms that ensure a set of processes reaches agreement on a common value despite the occurrence of specified process and/or communication failures.

139

Publications

8K

Citations

311

Authors

166

Institutions

Publications per year

2017–2026

43

Authors

311

  1. MR
    Michel Raynal

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    16 publications · 516 citations

    14

    h-index

  2. AM
    Achour Mostéfaoui

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    7 publications · 315 citations

    7

    h-index

  3. RG
    Rachid Guerraoui

    École Polytechnique Fédérale de Lausanne, Switzerland

    6 publications · 142 citations

    6

    h-index

  4. ST
    Sam Toueg

    Cornell University, United States

    6 publications · 1.3K citations

    6

    h-index

  5. JA
    James Aspnes

    Yale University, United States

    5 publications · 123 citations

    5

    h-index

1–5 of 311

Venues

  1. Journal of the ACM

    JACM · 5 publications · 1.4K citations

    5

    h-index

  2. IEEE Access

    4 publications · 75 citations

    4

    h-index

  3. DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)

    Repository · 4 publications · 546 citations

    4

    h-index

  4. Distributed Computing

    4 publications · 382 citations

    4

    h-index

  5. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 243 citations

    3

    h-index

1–5