Cost-based Query Optimization

Cost-Based Query Optimization is a query optimization strategy that belongs to the class of database optimization techniques and is distinguished by its use of statistical summaries and cost models to estimate and minimize the execution cost of database queries in serverless environments.

407

Publications

23.8K

Citations

952

Authors

275

Institutions

Publications per year

2017–2026

64

Variants

Cbo

Authors

952

  1. SC
    Surajit Chaudhuri

    Microsoft (United States), United States

    15 publications · 2K citations

    15

    h-index

  2. QZ
    Qiang Zhu

    University of Michigan–Dearborn, United States

    9 publications · 245 citations

    9

    h-index

  3. GM
    Guido Moerkotte

    University of Mannheim, Germany

    9 publications · 257 citations

    9

    h-index

  4. GM
    Guy M. Lohman

    IBM Research - Almaden, United States

    10 publications · 1.1K citations

    9

    h-index

  5. PL
    Per-Åke Larson

    University of Waterloo, Canada

    8 publications · 481 citations

    8

    h-index

1–5 of 952

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 37 publications · 1.5K citations

    23

    h-index

  2. ACM Transactions on Database Systems

    TODS · 20 publications · 1K citations

    18

    h-index

  3. ACM SIGMOD Record

    21 publications · 1.2K citations

    17

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 14 publications · 546 citations

    11

    h-index

  5. Very Large Data Bases

    Conference · 8 publications · 824 citations

    8

    h-index

1–5