Queue Length Process Approximation

Queue Length Process Approximation is a stochastic process model that, under heavy-traffic conditions, approximates the time-varying distribution of the number of customers in a queue by a diffusion or fluid limit process derived from scaling the system's arrival and service processes.

105

Publications

4.5K

Citations

169

Authors

100

Institutions

Publications per year

2017–2026

9

Authors

169

  1. WW
    Ward Whitt

    AT&T (United States), United States

    7 publications · 542 citations

    7

    h-index

  2. YS
    Yacov Satin

    Vologda State University, Russia

    3 publications · 38 citations

    3

    h-index

  3. OB
    Onno Boxma

    Eindhoven University of Technology, Netherlands

    3 publications · 107 citations

    3

    h-index

  4. GF
    G. F. Newell

    University of California, Berkeley, United States

    3 publications · 324 citations

    3

    h-index

  5. AZ
    Alexander Zeifman

    Vologda State University, Russia

    3 publications · 38 citations

    3

    h-index

1–5 of 169

Venues

  1. Performance Evaluation

    11 publications · 372 citations

    11

    h-index

  2. Journal of Applied Probability

    JAP · 8 publications · 280 citations

    8

    h-index

  3. The Annals of Applied Probability

    7 publications · 477 citations

    7

    h-index

  4. European Journal of Operational Research

    5 publications · 149 citations

    5

    h-index

  5. Operations Research Letters

    5 publications · 110 citations

    5

    h-index

1–5