Queue Length Asymptotics

Queue Length Asymptotics is a theoretical framework in queueing theory that characterizes the limiting behavior of the distribution of the number of customers in a queue as the system load approaches critical capacity or time tends to infinity, providing approximations for tail probabilities and performance metrics under extreme conditions.

492

Publications

20.9K

Citations

595

Authors

299

Institutions

Publications per year

2017–2026

26

Authors

595

  1. WW
    Ward Whitt

    AT&T (United States), United States

    13 publications · 702 citations

    13

    h-index

  2. CK
    Charles Knessl

    University of Illinois Chicago, United States

    11 publications · 259 citations

    11

    h-index

  3. JN
    John N. Tsitsiklis

    Massachusetts Institute of Technology, United States

    10 publications · 290 citations

    10

    h-index

  4. MM
    Michel Mandjes

    University of Amsterdam, Netherlands

    10 publications · 164 citations

    10

    h-index

  5. OB
    Onno Boxma

    Eindhoven University of Technology, Netherlands

    9 publications · 262 citations

    9

    h-index

1–5 of 595

Venues

  1. Queueing Systems

    54 publications · 2.3K citations

    27

    h-index

  2. Journal of Applied Probability

    JAP · 57 publications · 2K citations

    26

    h-index

  3. Advances in Applied Probability

    AAP · 33 publications · 1.3K citations

    22

    h-index

  4. Operations Research

    21 publications · 1.4K citations

    18

    h-index

  5. Performance Evaluation

    17 publications · 456 citations

    14

    h-index

1–5