Cold Data Management

Cold Data Management is a data storage strategy that belongs to the class of storage optimization techniques, specifically distinguished by its focus on efficiently archiving, retrieving, and maintaining infrequently accessed data with minimal performance overhead and reduced storage cost.

29

Publications

1.3K

Citations

107

Authors

44

Institutions

Publications per year

2017–2026

11

Authors

107

  1. YD
    Yuhui Deng

    Jinan University, China

    2 publications · 32 citations

    2

    h-index

  2. AA
    Anastasia Ailamaki

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 70 citations

    2

    h-index

  3. AP
    Andrew Pavlo

    Carnegie Mellon University, United States

    2 publications · 151 citations

    2

    h-index

  4. JJ
    Justin J. Levandoski

    University of Minnesota, United States

    2 publications · 204 citations

    2

    h-index

  5. RS
    Radu Stoica

    École Polytechnique Fédérale de Lausanne, Switzerland

    2 publications · 182 citations

    2

    h-index

1–5 of 107

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 5 publications · 264 citations

    5

    h-index

  2. Operating Systems Design and Implementation

    Conference · 1 publications · 46 citations

    1

    h-index

  3. IEEE Access

    1 publications · 19 citations

    1

    h-index

  4. 1

    h-index

  5. IEEE Transactions on Big Data

    1 publications · 18 citations

    1

    h-index

1–5