Fault-tolerant Logging

Fault-Tolerant Logging is a logging methodology that ensures continuous and reliable log collection, storage, and retrieval in containerized environments despite system failures, distinguished by its ability to maintain log integrity and availability through redundancy, replication, and failure recovery mechanisms.

64

Publications

2.5K

Citations

147

Authors

70

Institutions

Publications per year

2017–2026

10

Authors

147

  1. LA
    Lorenzo Alvisi

    The University of Texas at Austin, United States

    7 publications · 334 citations

    7

    h-index

  2. KM
    Keith Marzullo

    University of California San Diego, United States

    4 publications · 211 citations

    4

    h-index

  3. CM
    C. Mohan

    IBM Research - Almaden, United States

    3 publications · 87 citations

    3

    h-index

  4. AB
    Aurélien Bouteiller

    University of Tennessee at Knoxville, United States

    3 publications · 137 citations

    3

    h-index

  5. MH
    Mark Holland

    Carnegie Mellon University, United States

    3 publications · 213 citations

    3

    h-index

1–5 of 147

Venues

  1. ACM SIGMOD Record

    4 publications · 67 citations

    4

    h-index

  2. Synthesis lectures on data management

    2 publications · 27 citations

    2

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 115 citations

    1

    h-index

  4. Journal of Computing and Information Technology

    CIT · 1 publications · 12 citations

    1

    h-index

  5. Distributed and Parallel Databases

    1 publications · 10 citations

    1

    h-index

1–5