Large Object Management

Large Object Management is a database management technique that specifically handles the storage, retrieval, and manipulation of large data entities such as text, images, and multimedia, distinguishing it from conventional data handling by addressing the unique scalability, access, and persistence requirements of data objects exceeding typical size thresholds in relational systems.

23

Publications

1K

Citations

66

Authors

24

Institutions

Publications per year

2017–2026

1

Variants

Lob Management

Authors

66

  1. PJ
    Patrick J. Caudill

    2 publications · 106 citations

    2

    h-index

  2. AB
    A. Biliris

    AT&T (United States), United States

    2 publications · 80 citations

    2

    h-index

  3. AW
    Allen Wirfs-Brock

    Oregon Social Learning Center, United States

    2 publications · 106 citations

    2

    h-index

  4. JT
    Jonathan T. Moore

    University of Pennsylvania, United States

    1 publications · 24 citations

    1

    h-index

  5. CB
    Cynthia Brandt

    Yale University, United States

    1 publications · 97 citations

    1

    h-index

1–5 of 66

Venues

  1. 1

    h-index

  2. Data & Knowledge Engineering

    DKE · 1 publications · 13 citations

    1

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 1 publications · 20 citations

    1

    h-index

  4. ACM Transactions on Information and System Security

    TISSEC · 1 publications · 25 citations

    1

    h-index

  5. Very Large Data Bases

    Conference · 1 publications · 58 citations

    1

    h-index

1–5