Queue Length Tail Probabilities

Queue Length Tail Probabilities is a probabilistic metric that quantifies the likelihood of the queue length exceeding a large threshold in a queueing system, distinguishing it from other queueing performance measures by focusing specifically on the asymptotic behavior of the queue length distribution’s upper tail.

320

Publications

13.8K

Citations

485

Authors

259

Institutions

Publications per year

2017–2026

16

Variants

Tail Probability Of Queue Length

Authors

485

  1. WW
    Ward Whitt

    AT&T (United States), United States

    13 publications · 733 citations

    12

    h-index

  2. BK
    Bara Kim

    Korea University, South Korea

    10 publications · 204 citations

    10

    h-index

  3. YQ
    Yiqiang Q. Zhao

    Carleton University, Canada

    10 publications · 188 citations

    10

    h-index

  4. OB
    Onno Boxma

    Eindhoven University of Technology, Netherlands

    7 publications · 155 citations

    7

    h-index

  5. BZ
    Bert Zwart

    Centrum Wiskunde & Informatica, Netherlands

    6 publications · 164 citations

    6

    h-index

1–5 of 485

Venues

  1. Queueing Systems

    49 publications · 1.8K citations

    27

    h-index

  2. Advances in Applied Probability

    AAP · 17 publications · 462 citations

    14

    h-index

  3. Operations Research Letters

    17 publications · 481 citations

    14

    h-index

  4. Performance Evaluation

    18 publications · 542 citations

    14

    h-index

  5. Journal of Applied Probability

    JAP · 15 publications · 720 citations

    13

    h-index

1–5