Distributed Data Architecture

Distributed Data Architecture is a data architecture paradigm that organizes data storage and processing across multiple physical or logical nodes, distinguished by its emphasis on decentralization, scalability, and fault tolerance in managing data resources across distributed environments.

91

Publications

3.9K

Citations

389

Authors

146

Institutions

Publications per year

2017–2026

22

Authors

389

  1. JW
    Jon Weissman

    University of Minnesota, United States

    2 publications · 93 citations

    2

    h-index

  2. AE
    Allae Erraissi

    University of Hassan II Casablanca, Morocco

    2 publications · 33 citations

    2

    h-index

  3. WL
    Witold Litwin

    Université Paris Dauphine-PSL, France

    2 publications · 105 citations

    2

    h-index

  4. FP
    Frank P. Coyle

    University of Nottingham Ningbo China, China

    2 publications · 24 citations

    2

    h-index

  5. AC
    Abhishek Chandra

    University of Minnesota, United States

    2 publications · 93 citations

    2

    h-index

1–5 of 389

Venues

  1. Distributed and Parallel Databases

    3 publications · 40 citations

    3

    h-index

  2. Future Generation Computer Systems

    FGCS · 3 publications · 138 citations

    3

    h-index

  3. Ubiquity

    2 publications · 24 citations

    2

    h-index

  4. IBM Systems Journal

    2 publications · 27 citations

    2

    h-index

  5. Information Systems

    2 publications · 43 citations

    2

    h-index

1–5