Scheduling In Serverless Computing

Scheduling in Serverless Computing is a distributed scheduling paradigm that dynamically allocates ephemeral function-based workloads across scalable infrastructure in response to event-driven triggers, distinguishing it from traditional serverful or container-level scheduling by its fine-grained, stateless, and on-demand resource provisioning model.

111

Publications

6.1K

Citations

380

Authors

131

Institutions

Publications per year

2017–2026

110

Authors

380

  1. MG
    Mostafa Ghobaei‐Arani

    Qom Islamic Azad University, Iran

    6 publications · 265 citations

    6

    h-index

  2. MG
    Michael Gerndt

    Technical University of Munich, Germany

    5 publications · 149 citations

    5

    h-index

  3. MC
    Mohak Chadha

    Technical University of Munich, Germany

    5 publications · 149 citations

    5

    h-index

  4. VM
    Vinod Muthusamy

    University of Toronto, Canada

    4 publications · 319 citations

    4

    h-index

  5. AJ
    Anshul Jindal

    Technical University of Munich, Germany

    4 publications · 120 citations

    4

    h-index

1–5 of 380

Venues

  1. arXiv (Cornell University)

    Repository · 9 publications · 495 citations

    9

    h-index

  2. Future Generation Computer Systems

    FGCS · 5 publications · 314 citations

    5

    h-index

  3. IEEE Internet of Things Journal

    3 publications · 238 citations

    3

    h-index

  4. Computing

    2 publications · 66 citations

    2

    h-index

  5. Journal of Systems Architecture

    JSA · 2 publications · 95 citations

    2

    h-index

1–5