Parallel Database Scheduling

Parallel Database Scheduling is a computational framework that coordinates the execution of database operations across multiple processing units to optimize resource utilization and minimize query response time through concurrent task allocation and synchronization.

31

Publications

1.4K

Citations

83

Authors

43

Institutions

Publications per year

2017–2026

0

Authors

83

  1. MC
    Ming-Syan Chen⋆

    National Taiwan University, Taiwan

    4 publications · 126 citations

    4

    h-index

  2. GS
    Gunter Saake

    University Hospital Magdeburg, Germany

    3 publications · 123 citations

    3

    h-index

  3. SB
    Sebastian Breß

    Technische Universität Berlin, Germany

    3 publications · 123 citations

    3

    h-index

  4. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    3 publications · 66 citations

    3

    h-index

  5. PM
    Peter M. G. Apers

    University of Twente, Netherlands

    2 publications · 82 citations

    2

    h-index

1–5 of 83

Venues

  1. Proceedings of the VLDB Endowment

    PVLDB · 2 publications · 69 citations

    2

    h-index

  2. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 2 publications · 53 citations

    2

    h-index

  3. ACM SIGMOD Record

    2 publications · 43 citations

    2

    h-index

  4. Journal of Scheduling

    JOS · 1 publications · 10 citations

    1

    h-index

  5. Minds at UW (University of Wisconsin)

    Repository · 1 publications · 367 citations

    1

    h-index

1–5