Pessimistic Message Logging

Pessimistic Message Logging is a message logging strategy in distributed systems that belongs to the class of fault-tolerance mechanisms, specifically distinguished by its requirement to record all messages upon receipt before computation proceeds, thereby ensuring rollback recovery consistency at the cost of increased overhead.

22

Publications

1.5K

Citations

39

Authors

28

Institutions

Publications per year

2017–2026

1

Authors

39

  1. LA
    Lorenzo Alvisi

    The University of Texas at Austin, United States

    7 publications · 529 citations

    7

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  2. KM
    Keith Marzullo

    University of California San Diego, United States

    4 publications · 409 citations

    4

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  3. AB
    Aurélien Bouteiller

    University of Tennessee at Knoxville, United States

    4 publications · 322 citations

    4

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  4. DM
    D. Manivannan

    University of Kentucky, United States

    3 publications · 162 citations

    3

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  5. HM
    Harrick M. Vin

    The University of Texas at Austin, United States

    2 publications · 77 citations

    2

    h-index

1–5 of 39

Venues

  1. Journal of Parallel and Distributed Computing

    2 publications · 38 citations

    2

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  2. IEEE Transactions on Computers

    1 publications · 305 citations

    1

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  3. eCommons (Cornell University)

    Repository · 1 publications · 43 citations

    1

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  4. Future Generation Computer Systems

    FGCS · 1 publications · 17 citations

    1

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  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 48 citations

    1

    h-index

1–5