Multi-server Queue Asymptotics

Multi-Server Queue Asymptotics is a mathematical framework in queueing theory that characterizes the limiting behavior of performance metrics in multi-server systems under asymptotic regimes, particularly as traffic intensity approaches unity.

74

Publications

2.7K

Citations

124

Authors

78

Institutions

Publications per year

2017–2026

3

Authors

124

  1. WW
    Ward Whitt

    AT&T (United States), United States

    4 publications · 383 citations

    4

    h-index

  2. CK
    Charles Knessl

    University of Illinois Chicago, United States

    4 publications · 47 citations

    4

    h-index

  3. AS
    Alan Scheller‐Wolf

    Carnegie Mellon University, United States

    3 publications · 48 citations

    3

    h-index

  4. MM
    Michel Mandjes

    University of Amsterdam, Netherlands

    3 publications · 81 citations

    3

    h-index

  5. MH
    Mor Harchol‐Balter

    Carnegie Mellon University, United States

    3 publications · 48 citations

    3

    h-index

1–5 of 124

Venues

  1. Queueing Systems

    11 publications · 401 citations

    11

    h-index

  2. The Annals of Applied Probability

    7 publications · 321 citations

    7

    h-index

  3. Advances in Applied Probability

    AAP · 6 publications · 186 citations

    6

    h-index

  4. Journal of Applied Probability

    JAP · 4 publications · 107 citations

    4

    h-index

  5. 4

    h-index

1–5