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
Variants
Non-markovian Queuing Models
Parents
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Eindhoven University of Technology
Eindhoven, The Netherlands
4 h-index
8 publications
379 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
4 h-index
6 publications
225 citations
AT&T (United States)
Bedminster, United States
4 h-index
3 publications
117 citations
University of California, Berkeley
Berkeley, United States
4 h-index
6 publications
1.6K citations
Bell (Canada)
Montreal, Canada
3 h-index
5 publications
204 citations

University of Massachusetts Amherst
Amherst Center, United States
3 h-index
3 publications
133 citations
Princeton University
Princeton, United States
3 h-index
6 publications
116 citations
B.S. Abdur Rahman Crescent Institute of Science & Technology
Chennai, India
3 h-index
4 publications
47 citations
1–8 of 141
AAP · 6 publications · 234 citations
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5 publications · 161 citations
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6 publications · 319 citations
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JAP · 5 publications · 142 citations
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5 publications · 453 citations
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