Database Recovery

Database recovery is the set of techniques and procedures designed to restore a database to a consistent state following system failures, ensuring data integrity and availability. As an academic concept and methodological approach, it investigates algorithms, including logging, checkpointing, and appropriate concurrency control interactions, to maintain the Atomicity and Durability properties of transactions. Its significance lies in enabling reliable data management and continuous system operation in the presence of hardware, software, or transaction processing errors.

29

Publications

1.7K

Citations

56

Authors

32

Institutions

Publications per year

2017–2026

2

Parents

Authors

56

  1. TJ
    Tobin J. Lehman

    IBM Research - Almaden, United States

    2 publications · 110 citations

    2

    h-index

  2. MJ
    Michael J. Carey

    University of Wisconsin–Madison, United States

    2 publications · 110 citations

    2

    h-index

  3. KS
    Kris Struyve

    Ghent University, Belgium

    1 publications · 15 citations

    1

    h-index

  4. PD
    Piet Demeester

    Ghent University, Belgium

    1 publications · 15 citations

    1

    h-index

  5. DL
    Donald L. Droulette

    IBM (United States), United States

    1 publications · 12 citations

    1

    h-index

1–5 of 56

Venues

  1. ACM SIGMOD Record

    2 publications · 87 citations

    2

    h-index

  2. IEEE Transactions on Computers

    2 publications · 64 citations

    2

    h-index

  3. Alcoholism Treatment Quarterly

    1 publications · 12 citations

    1

    h-index

  4. The Computer Journal

    1 publications · 21 citations

    1

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 1 publications · 19 citations

    1

    h-index

1–5