Burstiness Modeling

Burstiness Modeling is a performance modeling technique that characterizes the irregular and clustered arrival patterns of events or workloads by quantifying their temporal variability and deviation from uniform distribution.

227

Publications

14.8K

Citations

569

Authors

257

Institutions

Publications per year

2017–2026

28

Authors

569

  1. NM
    Ningfang Mi

    Northeastern University, United States

    6 publications · 282 citations

    6

    h-index

  2. ES
    Evgenia Smirni

    William & Mary, United States

    6 publications · 282 citations

    6

    h-index

  3. LC
    Ludmila Cherkasova

    Hewlett-Packard (United States), United States

    6 publications · 282 citations

    6

    h-index

  4. GC
    Giuliano Casale

    Imperial College London, United Kingdom

    5 publications · 262 citations

    5

    h-index

  5. DG
    Dimitrios Gunopulos

    University of California, Riverside, United States

    5 publications · 255 citations

    5

    h-index

1–5 of 569

Venues

  1. IEEE Transactions on Communications

    5 publications · 173 citations

    5

    h-index

  2. IEEE Transactions on Information Theory

    5 publications · 3.3K citations

    5

    h-index

  3. 4

    h-index

  4. ACM SIGCOMM Computer Communication Review

    CCR · 4 publications · 419 citations

    4

    h-index

  5. IEEE/ACM Transactions on Networking

    TON · 4 publications · 219 citations

    4

    h-index

1–5