State Space Collapse

State Space Collapse is a phenomenon in queueing theory where, under heavy traffic conditions, the high-dimensional state space of a queueing network dynamically reduces to a lower-dimensional subspace, typically aligned with the service capacity constraints, thereby simplifying the stochastic description of the system.

73

Publications

3.8K

Citations

108

Authors

71

Institutions

Publications per year

2017–2026

16

Authors

108

  1. ST
    Siva Theja Maguluri

    Georgia Institute of Technology, United States

    6 publications · 181 citations

    6

    h-index

  2. RS
    R. Srikant

    University of Illinois Urbana-Champaign, United States

    5 publications · 192 citations

    5

    h-index

  3. WW
    Ward Whitt

    AT&T (United States), United States

    4 publications · 422 citations

    4

    h-index

  4. WN
    W. N. Kang

    University of California San Diego, United States

    3 publications · 219 citations

    3

    h-index

  5. RW
    Ruth Williams

    University of California San Diego, United States

    3 publications · 219 citations

    3

    h-index

1–5 of 108

Venues

  1. The Annals of Applied Probability

    9 publications · 1K citations

    9

    h-index

  2. Mathematics of Operations Research

    7 publications · 482 citations

    7

    h-index

  3. Stochastic Systems

    4 publications · 186 citations

    4

    h-index

  4. Physical Review A

    PRA · 3 publications · 167 citations

    3

    h-index

  5. Operations Research

    3 publications · 218 citations

    3

    h-index

1–5