Burst Handling

Burst Handling is a scalability mechanism in serverless database architectures that enables rapid allocation and deallocation of computational resources to accommodate sudden, unpredictable increases in workload demand while maintaining performance and cost efficiency.

114

Publications

10K

Citations

404

Authors

178

Institutions

Publications per year

2017–2026

23

Authors

404

  1. JP
    Jason P. Jue

    The University of Texas at Dallas, United States

    5 publications · 499 citations

    5

    h-index

  2. VM
    Vinod M. Vokkarane

    University of Massachusetts Dartmouth, United States

    5 publications · 266 citations

    5

    h-index

  3. HL
    Hai L. Vu

    Swinburne University of Technology, Australia

    3 publications · 230 citations

    3

    h-index

  4. ES
    Evgenia Smirni

    William & Mary, United States

    3 publications · 112 citations

    3

    h-index

  5. ZR
    Zvi Rosberg

    Technion – Israel Institute of Technology, Israel

    3 publications · 230 citations

    3

    h-index

1–5 of 404

Venues

  1. IEEE Communications Letters

    5 publications · 123 citations

    5

    h-index

  2. IEEE Transactions on Communications

    4 publications · 3.4K citations

    4

    h-index

  3. 3

    h-index

  4. Journal of Lightwave Technology

    3 publications · 88 citations

    3

    h-index

  5. Journal of Computer Science and Technology

    2 publications · 66 citations

    2

    h-index

1–5