Non-markovian Queueing Models

Non-Markovian Queueing Models is a class of queueing models in which the stochastic description of the system’s evolution does not satisfy the Markov property, typically because arrival and/or service processes have general (non-exponential) distributions so that future dynamics depend on more than the current state alone.

116

Publications

5.8K

Citations

225

Authors

141

Institutions

Publications per year

2017–2026

23

Authors

225

  1. WW
    Ward Whitt

    AT&T (United States), United States

    3 publications · 174 citations

    4

    h-index

  2. DM
    Debasis Mitra

    AT&T (United States), United States

    4 publications · 1.4K citations

    4

    h-index

  3. OB
    Onno Boxma

    Eindhoven University of Technology, Netherlands

    3 publications · 78 citations

    3

    h-index

  4. JW
    Jean Walrand

    University of California, Berkeley, United States

    3 publications · 151 citations

    3

    h-index

  5. IA
    Ivo Adan

    Eindhoven University of Technology, Netherlands

    2 publications · 69 citations

    2

    h-index

1–5 of 225

Venues

  1. Advances in Applied Probability

    AAP · 6 publications · 234 citations

    6

    h-index

  2. Queueing Systems

    5 publications · 161 citations

    6

    h-index

  3. Operations Research

    6 publications · 319 citations

    6

    h-index

  4. Journal of Applied Probability

    JAP · 5 publications · 142 citations

    5

    h-index

  5. IEEE Transactions on Communications

    5 publications · 453 citations

    5

    h-index

1–5