Concurrent Database Anomalies

Concurrent Database Anomalies is a theoretical construct that identifies and classifies integrity violations in database systems arising from unsynchronized interleaving of transactions, distinguished by its focus on race condition-induced inconsistencies such as dirty reads, non-repeatable reads, and phantom reads under concurrent access.

4

Publications

158

Citations

14

Authors

9

Institutions

Publications per year

2017–2026

2

Authors

14

  1. PA
    Peter Alvaro

    University of California, Berkeley, United States

    1 publications · 62 citations

    1

    h-index

  2. TI
    Toshihide Ibaraki

    Kyoto University, Japan

    1 publications · 15 citations

    1

    h-index

  3. YW
    Yang Wang

    The Ohio State University, United States

    1 publications · 18 citations

    1

    h-index

  4. TK
    Tsunehiko Kameda

    Simon Fraser University, Canada

    1 publications · 15 citations

    1

    h-index

  5. DR
    Drew Ripberger

    The Ohio State University, United States

    1 publications · 18 citations

    1

    h-index

1–5 of 14

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 80 citations

    2

    h-index

  2. IEEE Transactions on Software Engineering

    TSE · 1 publications · 15 citations

    1

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 10 citations

1–3