Burst Management

Burst Management is a serverless runtime optimization framework that dynamically allocates and scales computational resources to accommodate sudden increases in workload demand while maintaining performance and cost efficiency.

133

Publications

8.2K

Citations

383

Authors

180

Institutions

Publications per year

2017–2026

16

Authors

383

  1. JP
    Jason P. Jue

    The University of Texas at Dallas, United States

    7 publications · 560 citations

    7

    h-index

  2. SK
    Shoji Kasahara

    Nara Institute of Science and Technology, Japan

    5 publications · 85 citations

    5

    h-index

  3. VM
    Vinod M. Vokkarane

    University of Massachusetts Dartmouth, United States

    5 publications · 520 citations

    5

    h-index

  4. CM
    Christoph M. Gauger

    University of Stuttgart, Germany

    4 publications · 339 citations

    4

    h-index

  5. TT
    Takuji Tachibana

    University of Fukui, Japan

    4 publications · 67 citations

    4

    h-index

1–5 of 383

Venues

  1. 6

    h-index

  2. IEEE Communications Magazine

    6 publications · 286 citations

    6

    h-index

  3. Computer Networks

    6 publications · 146 citations

    6

    h-index

  4. Journal of Lightwave Technology

    5 publications · 176 citations

    5

    h-index

  5. 3

    h-index

1–5