Pipeline Scalability

Pipeline Scalability is the inherent capacity of a data pipeline to maintain or improve performance efficiency as the volume, velocity, or variety of data processing demands increase, distinguished from related scalability concepts by its specific focus on end-to-end data workflow adaptability within distributed computing environments.

25

Publications

1.4K

Citations

120

Authors

38

Institutions

Publications per year

2017–2026

11

Authors

120

  1. MK
    Michael Kotliar

    Cincinnati Children's Hospital Medical Center, United States

    2 publications · 76 citations

    2

    h-index

  2. AB
    Artem Barski

    Cincinnati Children's Hospital Medical Center, United States

    2 publications · 76 citations

    2

    h-index

  3. TN
    T. N. Vijaykumar

    Purdue University West Lafayette, United States

    2 publications · 62 citations

    2

    h-index

  4. AK
    Andrey Kartashov

    Cincinnati Children's Hospital Medical Center, United States

    2 publications · 76 citations

    2

    h-index

  5. JH
    Jahangir Hasan

    Purdue University West Lafayette, United States

    2 publications · 62 citations

    2

    h-index

1–5 of 120

Venues

  1. Bioinformatics

    2 publications · 71 citations

    2

    h-index

  2. Bristol Research (University of Bristol)

    Repository · 1 publications · 10 citations

    1

    h-index

  3. IEICE Transactions on Information and Systems

    1 publications · 13 citations

    1

    h-index

  4. eLife

    1 publications · 62 citations

    1

    h-index

  5. Journal of Chemical Information and Modeling

    JCIM · 1 publications · 44 citations

    1

    h-index

1–5