Large-scale Queueing Networks

Large-Scale Queueing Networks is a mathematical modeling framework within the theory of stochastic systems that characterizes complex networks of queues with a high number of interacting service stations, distinguished by their asymptotic analysis and scalability properties to approximate performance metrics in large systems.

148

Publications

5.6K

Citations

282

Authors

136

Institutions

Publications per year

2017–2026

23

Authors

282

  1. DT
    Don Towsley

    University of Massachusetts Amherst, United States

    5 publications · 285 citations

    5

    h-index

  2. AS
    Alexander Stolyar

    University of Illinois Urbana-Champaign, United States

    5 publications · 91 citations

    5

    h-index

  3. WW
    Ward Whitt

    AT&T (United States), United States

    4 publications · 437 citations

    4

    h-index

  4. ED
    E.J. Davison

    University of Toronto, Canada

    3 publications · 71 citations

    3

    h-index

  5. FL
    Francesco Lo Presti

    University of Rome Tor Vergata, Italy

    3 publications · 177 citations

    3

    h-index

1–5 of 282

Venues

  1. Queueing Systems

    9 publications · 313 citations

    9

    h-index

  2. Operations Research

    8 publications · 706 citations

    8

    h-index

  3. Journal of Applied Probability

    JAP · 4 publications · 126 citations

    4

    h-index

  4. Performance Evaluation

    4 publications · 99 citations

    4

    h-index

  5. Advances in Applied Probability

    AAP · 4 publications · 106 citations

    4

    h-index

1–5