Runtime Query Reoptimization

Runtime Query Reoptimization is a query optimization technique that dynamically revises execution plans during query processing based on runtime feedback, distinguishing itself from static or compile-time optimization methods by adapting to actual data distribution and workload conditions encountered at execution time.

4

Publications

262

Citations

10

Authors

7

Institutions

Publications per year

2017–2026

0

Variants

Dynamic Query Reoptimization

Authors

10

  1. GG
    Goetz Graefe

    Hewlett-Packard (United States), United States

    2 publications · 219 citations

    2

    h-index

  2. KW
    K. Ward

    The Graduate Center, CUNY, United States

    1 publications · 146 citations

    1

    h-index

  3. KW
    K. Ward

    Oregon Social Learning Center, United States

    1 publications · 73 citations

    1

    h-index

  4. JN
    James Noble

    Victoria University of Wellington, New Zealand

    1 publications · 31 citations

    1

    h-index

  5. DW
    Darren Willis

    Victoria University of Wellington, New Zealand

    1 publications · 31 citations

    1

    h-index

1–5 of 10

Venues

  1. ACM SIGMOD Record

    1 publications · 146 citations

    1

    h-index

  2. Proceedings of the ACM on Management of Data

    1 publications · 10 citations

1–2