Generalized Jackson Networks

Generalized Jackson Networks is a stochastic network model in queueing theory that extends classical Jackson networks by allowing state-dependent service rates and general routing mechanisms, thereby enabling the analysis of more complex and realistic heavy-traffic systems.

28

Publications

1.8K

Citations

41

Authors

28

Institutions

Publications per year

2017–2026

2

Authors

41

  1. JG
    J. G. Dai

    Georgia Institute of Technology, United States

    3 publications · 393 citations

    3

    h-index

  2. ML
    Marc Lelarge

    Institut national de recherche en sciences et technologies du numérique, France

    2 publications · 39 citations

    2

    h-index

  3. SM
    Sean Meyn

    University of Illinois Urbana-Champaign, United States

    2 publications · 505 citations

    2

    h-index

  4. MM
    Masakiyo Miyazawa

    Tokyo University of Science, Japan

    2 publications · 41 citations

    2

    h-index

  5. PW
    Peter Whittle

    University of Cambridge, United Kingdom

    2 publications · 23 citations

    2

    h-index

1–5 of 41

Venues

  1. Journal of Applied Probability

    JAP · 5 publications · 121 citations

    5

    h-index

  2. The Annals of Applied Probability

    4 publications · 393 citations

    4

    h-index

  3. Queueing Systems

    2 publications · 66 citations

    2

    h-index

  4. IEEE Transactions on Automatic Control

    2 publications · 637 citations

    2

    h-index

  5. Mathematics of Operations Research

    2 publications · 111 citations

    2

    h-index

1–5