Serverless Runtime Optimization

Serverless Runtime Optimization is a methodological framework within serverless computing that minimizes cold start latency by strategically managing runtime initialization, resource allocation, and execution environment reuse in ephemeral function instances.

17

Publications

684

Citations

52

Authors

24

Institutions

Publications per year

2017–2026

16

Authors

52

  1. PF
    Pedro Fonseca

    Purdue University West Lafayette, United States

    1 publications · 27 citations

    2

    h-index

  2. HC
    Haibo Chen

    Shanghai Jiao Tong University, China

    2 publications · 250 citations

    2

    h-index

  3. SM
    Sotiris Moschoyiannis

    University of Surrey, United Kingdom

    2 publications · 59 citations

    2

    h-index

  4. AC
    Angelos Christidis

    University of Surrey, United Kingdom

    2 publications · 59 citations

    2

    h-index

  5. SK
    Sumer Kohli

    University of California, Berkeley, United States

    1 publications · 27 citations

    2

    h-index

1–5 of 52

Venues

  1. Journal of Parallel and Distributed Computing

    1 publications · 52 citations

    1

    h-index

  2. IEEE Internet of Things Journal

    1 publications · 47 citations

    1

    h-index

  3. IEEE Access

    1 publications · 37 citations

    1

    h-index

  4. IEEE Transactions on Computers

    1 publications · 12 citations

  5. Journal of Grid Computing

    1 publications · 24 citations

1–5