Parallel Database Performance Modeling

Parallel Database Performance Modeling is a formal analytical framework that characterizes the execution behavior and scalability of database operations across distributed processing units by integrating system architecture, workload patterns, and resource contention dynamics within a parallel database environment.

26

Publications

1.2K

Citations

77

Authors

39

Institutions

Publications per year

2017–2026

4

Authors

77

  1. JG
    Jim Gray

    Microsoft (United States), United States

    2 publications · 84 citations

    2

    h-index

  2. TK
    Terrye Kocher

    2 publications · 84 citations

    2

    h-index

  3. SE
    Susanne Englert

    Northeastern University, United States

    2 publications · 84 citations

    2

    h-index

  4. DJ
    David J. DeWitt

    University of Wisconsin–Madison, United States

    2 publications · 94 citations

    2

    h-index

  5. PS
    P.P. Shah

    Sardar Patel University, India

    2 publications · 84 citations

    2

    h-index

1–5 of 77

Venues

  1. IEEE Transactions on Software Engineering

    TSE · 2 publications · 75 citations

    2

    h-index

  2. Distributed and Parallel Databases

    2 publications · 34 citations

    2

    h-index

  3. Journalism Studies

    1 publications · 168 citations

    1

    h-index

  4. Qucosa (Saxon State and University Library Dresden)

    Repository · 1 publications · 63 citations

    1

    h-index

  5. International Journal of Behavioral Development

    IJBD · 1 publications · 13 citations

    1

    h-index

1–5