Log-based Recovery

Log-Based Recovery is a system recovery method that belongs to the class of fault-tolerance techniques in distributed systems, distinguished by its reliance on a chronological record of operations and state changes (i.e., a message log) to reconstruct consistent system states following failures.

39

Publications

1K

Citations

98

Authors

54

Institutions

Publications per year

2017–2026

6

Variants

Message Logging-based Recovery

Authors

98

  1. DL
    David Lomet

    Microsoft (United States), United States

    4 publications · 71 citations

    4

    h-index

  2. HY
    Heon Y. Yeom

    Seoul National University, South Korea

    3 publications · 59 citations

    3

    h-index

  3. JS
    J.H. Slye

    Nokia (United States), United States

    2 publications · 58 citations

    2

    h-index

  4. EN
    E. N. Mootaz Elnozahy

    IBM Research - Austin, United States

    2 publications · 58 citations

    2

    h-index

  5. TP
    Tae‐Soon Park

    Korea Research Institute of Standards and Science, South Korea

    2 publications · 46 citations

    2

    h-index

1–5 of 98

Venues

  1. Very Large Data Bases

    Conference · 2 publications · 84 citations

    2

    h-index

  2. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 52 citations

    2

    h-index

  3. ACM Transactions on Storage

    TOS · 1 publications · 49 citations

    1

    h-index

  4. DSpace@MIT (Massachusetts Institute of Technology)

    Repository · 1 publications · 42 citations

    1

    h-index

  5. IEEE Transactions on Mobile Computing

    TMCCI · 1 publications · 34 citations

    1

    h-index

1–5