Cloud-native Data Pipelines

Cloud-Native Data Pipelines is a data orchestration framework designed to automate, manage, and scale data workflows in cloud environments by leveraging containerization, microservices architecture, and dynamic resource provisioning inherent to cloud platforms.

4

Publications

89

Citations

19

Authors

12

Institutions

Publications per year

2017–2026

1

Authors

19

  1. AY
    Albert Y. Zomaya

    The University of Sydney, Australia

    1 publications · 14 citations

    1

    h-index

  2. TE
    Tamer Elsayed

    Qatar University, Qatar

    1 publications · 14 citations

    1

    h-index

  3. ZF
    Zoltán Farkas

    HUN-REN Institute for Computer Science and Control, Hungary

    1 publications · 17 citations

    1

    h-index

  4. QM
    Qutaibah Malluhi

    Qatar University, Qatar

    1 publications · 14 citations

    1

    h-index

  5. AG
    Atticus Geiger

    Simon Fraser University, Canada

    1 publications · 21 citations

    1

    h-index

1–5 of 19

Venues

  1. Future Generation Computer Systems

    FGCS · 2 publications · 51 citations

    2

    h-index

  2. Journal of Grid Computing

    1 publications · 17 citations

    1

    h-index

  3. AGU Fall Meeting Abstracts

    1 publications · 21 citations

    1

    h-index

  4. Acta Technica Jaurinensis

    1 publications · 12 citations

1–5