Parallel Database Architectures

Parallel Database Architectures is a class of database system designs that enables concurrent data processing across multiple processors or nodes by distributing data and computation, distinguished from traditional architectures through their shared-nothing, shared-disk, or shared-memory configurations to achieve scalability and performance.

202

Publications

34.4K

Citations

467

Authors

134

Institutions

Publications per year

2017–2026

12

Authors

467

  1. DJ
    David J. DeWitt

    University of Wisconsin–Madison, United States

    18 publications · 3.3K citations

    15

    h-index

  2. PV
    Patrick Valduriez

    Institut national de recherche en sciences et technologies du numérique, France

    9 publications · 1K citations

    9

    h-index

  3. OF
    Ophir Frieder

    Illinois Institute of Technology, United States

    6 publications · 91 citations

    6

    h-index

  4. HB
    Haran Boral

    University of Wisconsin–Madison, United States

    5 publications · 634 citations

    5

    h-index

  5. SG
    Shahram Ghandeharizadeh

    University of Southern California, United States

    5 publications · 126 citations

    5

    h-index

1–5 of 467

Venues

  1. ACM SIGMOD Record

    14 publications · 603 citations

    12

    h-index

  2. Very Large Data Bases

    Conference · 12 publications · 693 citations

    11

    h-index

  3. Proceedings of the VLDB Endowment

    PVLDB · 10 publications · 1.6K citations

    10

    h-index

  4. ACM Transactions on Database Systems

    TODS · 6 publications · 641 citations

    6

    h-index

  5. IEEE Transactions on Software Engineering

    TSE · 5 publications · 165 citations

    5

    h-index

1–5