Distributed System Failure Detection

Distributed System Failure Detection is a methodological framework within distributed computing that enables the identification of node or process failures in a decentralized network through the systematic monitoring and analysis of heartbeat messages, timeouts, and communication delays to distinguish between actual failures and transient network partitions.

116

Publications

5.5K

Citations

293

Authors

128

Institutions

Publications per year

2017–2026

8

Authors

293

  1. MR
    Michel Raynal

    Institut de Recherche en Informatique et Systèmes Aléatoires, France

    8 publications · 280 citations

    8

    h-index

  2. CF
    Christof Fetzer

    Technische Universität Dresden, Germany

    6 publications · 236 citations

    6

    h-index

  3. RG
    Rachid Guerraoui

    École Polytechnique Fédérale de Lausanne, Switzerland

    5 publications · 346 citations

    5

    h-index

  4. PS
    Pierre Sens

    Sorbonne Université, France

    4 publications · 252 citations

    4

    h-index

  5. LA
    Luciana Arantes

    Sorbonne Université, France

    4 publications · 70 citations

    4

    h-index

1–5 of 293

Venues

  1. IEEE Transactions on Parallel and Distributed Systems

    TPDS · 3 publications · 134 citations

    3

    h-index

  2. Journal of Parallel and Distributed Computing

    3 publications · 163 citations

    3

    h-index

  3. Distributed Computing

    2 publications · 103 citations

    2

    h-index

  4. Journal of Guidance Control and Dynamics

    2 publications · 51 citations

    2

    h-index

  5. 1

    h-index

1–5