Serverless Data Processing

Serverless Data Processing is a computational paradigm within cloud data platforms that enables the execution of data-intensive workflows without requiring users to manage underlying infrastructure, distinguished by its automatic resource provisioning, event-driven scaling, and fine-grained billing model.

66

Publications

3.3K

Citations

245

Authors

102

Institutions

Publications per year

2017–2026

65

Authors

245

  1. GM
    Germán Moltó

    Universitat Politècnica de València, Spain

    6 publications · 279 citations

    6

    h-index

  2. GV
    Gil Vernik

    IBM Research - Haifa, Israel

    5 publications · 199 citations

    5

    h-index

  3. MS
    Marc Sánchez‐Artigas

    Universitat Rovira i Virgili, Spain

    4 publications · 186 citations

    4

    h-index

  4. SR
    Sebastián Risco

    Instituto de Instrumentación para Imagen Molecular, Spain

    4 publications · 182 citations

    4

    h-index

  5. PG
    Pedro Garcı́a-López

    Universitat Rovira i Virgili, Spain

    4 publications · 186 citations

    4

    h-index

1–5 of 245

Venues

  1. Future Generation Computer Systems

    FGCS · 5 publications · 366 citations

    5

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 106 citations

    4

    h-index

  3. Applied Sciences

    2 publications · 38 citations

    2

    h-index

  4. IEEE Software

    2 publications · 66 citations

    2

    h-index

  5. Journal of Grid Computing

    2 publications · 89 citations

    2

    h-index

1–5