Hot Data Management

Hot Data Management is a storage optimization technique that identifies and prioritizes frequently accessed data for accelerated access and reduced latency by leveraging data locality principles within storage engines.

47

Publications

1.8K

Citations

175

Authors

74

Institutions

Publications per year

2017–2026

17

Authors

175

  1. DH
    David H. C. Du

    University of Minnesota, United States

    4 publications · 90 citations

    4

    h-index

  2. JJ
    Justin J. Levandoski

    University of Minnesota, United States

    2 publications · 204 citations

    2

    h-index

  3. DP
    Dongchul Park

    University of Minnesota, United States

    2 publications · 52 citations

    2

    h-index

  4. TL
    Tian Lan

    George Washington University, United States

    2 publications · 49 citations

    2

    h-index

  5. BL
    Bingzhe Li

    University of Minnesota, United States

    2 publications · 38 citations

    2

    h-index

1–5 of 175

Venues

  1. Journal of Physics Conference Series

    3 publications · 105 citations

    3

    h-index

  2. IEEE Access

    3 publications · 46 citations

    3

    h-index

  3. IEEE Transactions on Computers

    2 publications · 33 citations

    2

    h-index

  4. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 137 citations

    2

    h-index

  5. 2

    h-index

1–5