Serverless Throughput Optimization

Serverless Throughput Optimization is a methodological framework within cloud computing optimization that specifically governs the maximization of task processing rates in serverless architectures by dynamically orchestrating function scaling, resource allocation, and execution concurrency under variable workloads.

6

Publications

288

Citations

20

Authors

11

Institutions

Publications per year

2017–2026

6

Authors

20

  1. AA
    Akram Aslani

    Qom Islamic Azad University, Iran

    1 publications · 26 citations

    1

    h-index

  2. GA
    Gustavo Alonso

    ETH Zurich, Switzerland

    1 publications · 130 citations

    1

    h-index

  3. AK
    Anisha Kumari

    National Institute of Technology Rourkela, India

    1 publications · 17 citations

    1

    h-index

  4. CJ
    Carlee Joe‐Wong

    Carnegie Mellon University, United States

    1 publications · 31 citations

    1

    h-index

  5. IM
    Ingo Müller

    ETH Zurich, Switzerland

    1 publications · 130 citations

    1

    h-index

1–5 of 20

Venues

  1. 1

    h-index

  2. Computing

    1 publications · 26 citations

    1

    h-index

  3. arXiv (Cornell University)

    Repository · 1 publications · 19 citations

    1

    h-index

  4. Future Generation Computer Systems

    FGCS · 1 publications · 10 citations

1–4