Causal Message Logging

Causal Message Logging is a message logging technique in distributed systems that preserves the causal dependencies among messages to ensure correct rollback recovery by selectively recording only those messages that contribute to the computation's causal consistency.

17

Publications

768

Citations

25

Authors

14

Institutions

Publications per year

2017–2026

0

Authors

25

  1. LA
    Lorenzo Alvisi

    The University of Texas at Austin, United States

    9 publications · 512 citations

    9

    h-index

  2. KM
    Keith Marzullo

    University of California San Diego, United States

    6 publications · 392 citations

    6

    h-index

  3. KB
    Karan Bhatia

    San Diego Supercomputer Center, United States

    3 publications · 56 citations

    3

    h-index

  4. PL
    Pierre Lemarinier

    Laboratoire de Recherche en Informatique, France

    2 publications · 158 citations

    2

    h-index

  5. CH
    Chong‐Sun Hwang

    Korea University, South Korea

    2 publications · 22 citations

    2

    h-index

1–5 of 25

Venues

  1. eCommons (Cornell University)

    Repository · 1 publications · 43 citations

    1

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  2. 1

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  3. Distributed Computing

    1 publications · 22 citations

    1

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 48 citations

    1

    h-index

  5. IEEE Transactions on Software Engineering

    TSE · 1 publications · 212 citations

    1

    h-index

1–5