Database Caching

Database Caching is a caching strategy that involves temporarily storing copies of database query results or frequently accessed data in a high-speed storage layer to accelerate data retrieval and reduce database load.

141

Publications

8.4K

Citations

326

Authors

126

Institutions

Publications per year

2017–2026

6

Authors

326

  1. JF
    Jeffrey F. Naughton

    University of Wisconsin–Madison, United States

    8 publications · 669 citations

    8

    h-index

  2. HV
    Hong Va Leong

    Hong Kong Polytechnic University, Hong Kong SAR China

    6 publications · 233 citations

    6

    h-index

  3. QL
    Qiong Luo

    Hong Kong University of Science and Technology, Hong Kong SAR China

    5 publications · 302 citations

    5

    h-index

  4. CM
    C. Mohan

    IBM Research - Almaden, United States

    4 publications · 308 citations

    4

    h-index

  5. AJ
    Anant Jhingran

    IBM Research - Thomas J. Watson Research Center, United States

    4 publications · 470 citations

    4

    h-index

1–5 of 326

Venues

  1. ACM SIGMOD Record

    6 publications · 185 citations

    6

    h-index

  2. ACM Transactions on Database Systems

    TODS · 5 publications · 635 citations

    5

    h-index

  3. The VLDB Journal

    4 publications · 463 citations

    4

    h-index

  4. Very Large Data Bases

    Conference · 4 publications · 204 citations

    4

    h-index

  5. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 59 citations

    3

    h-index

1–5