Cache-aware Query Optimization

Cache-Aware Query Optimization is a query optimization methodology that incorporates knowledge of the underlying memory hierarchy and cache behavior into the query plan selection process to minimize data access latency and improve execution performance.

68

Publications

2.9K

Citations

218

Authors

103

Institutions

Publications per year

2017–2026

9

Authors

218

  1. DK
    Donald Kossmann

    ETH Zurich, Switzerland

    3 publications · 225 citations

    3

    h-index

  2. DZ
    Deng Zhao

    China University of Geosciences (Beijing), China

    3 publications · 53 citations

    3

    h-index

  3. ZZ
    Zhangbing Zhou

    China University of Geosciences (Beijing), China

    3 publications · 53 citations

    3

    h-index

  4. MK
    Martin Kersten

    Centrum Wiskunde & Informatica, Netherlands

    3 publications · 361 citations

    3

    h-index

  5. WL
    Wang-Chien Lee

    Pennsylvania State University, United States

    2 publications · 53 citations

    2

    h-index

1–5 of 218

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 4 publications · 375 citations

    4

    h-index

  2. ACM Transactions on Database Systems

    TODS · 2 publications · 106 citations

    2

    h-index

  3. 2

    h-index

  4. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 61 citations

    2

    h-index

  5. IEEE/ACM Transactions on Networking

    TON · 1 publications · 55 citations

    1

    h-index

1–5