Warm Start Optimization

Warm Start Optimization is a serverless runtime management technique that minimizes cold start latency by preserving and reusing initialized execution contexts across invocations, thereby distinguishing itself from other optimization strategies through its focus on state retention and rapid initialization of previously warmed resources.

41

Publications

1.9K

Citations

130

Authors

63

Institutions

Publications per year

2017–2026

22

Authors

130

  1. JG
    Jacek Gondzio

    University of Edinburgh, United Kingdom

    3 publications · 168 citations

    3

    h-index

  2. CL
    Chieh-Yen Lin

    National Taiwan University, Taiwan

    2 publications · 99 citations

    2

    h-index

  3. RP
    Ryan P. Adams

    Harvard University, United States

    2 publications · 69 citations

    2

    h-index

  4. CL
    Chih‐Jen Lin

    National Taiwan University, Taiwan

    2 publications · 99 citations

    2

    h-index

  5. FH
    Frank Hutter

    University of Freiburg, Germany

    2 publications · 68 citations

    2

    h-index

1–5 of 130

Venues

  1. Mathematical Programming

    3 publications · 151 citations

    3

    h-index

  2. SIAM Journal on Optimization

    2 publications · 68 citations

    2

    h-index

  3. IEEE Transactions on Power Systems

    2 publications · 78 citations

    2

    h-index

  4. arXiv (Cornell University)

    Repository · 2 publications · 68 citations

    2

    h-index

  5. Journal of Hydroinformatics

    1 publications · 13 citations

    1

    h-index

1–5