Markovian Queueing Networks is a class of stochastic network models in queueing theory where the interarrival and service times follow exponential distributions, and the system's state transitions adhere to a continuous-time Markov process, enabling tractable analytical solutions through product-form equilibrium distributions.
344
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559
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284
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2017–2026
37
Publications
344
Applied Probability and Queues.
Upendra Dave, Søren Asmussen · Journal of the Operational Research Society · 1987 · 2.8K citations
Markov Chains: Gibbs Fields, Monte Carlo Simulation, and Queues
John Odentrantz · Technometrics · 2000 · 1K citations
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559
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1–5 of 559
Institutions
284
AT&T (United States)
Bedminster, United States
11 h-index
15 publications
1.3K citations
Columbia University
New York, United States
10 h-index
12 publications
377 citations
Georgia Institute of Technology
Atlanta, United States
8 h-index
14 publications
580 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
7 h-index
11 publications
312 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
6 h-index
11 publications
339 citations
Hong Kong University of Science and Technology
Hong Kong, Hong Kong
6 h-index
7 publications
260 citations
University of Haifa
Haifa, Israel
6 h-index
8 publications
293 citations
Nokia (United States)
Coppell, United States
6 h-index
8 publications
646 citations
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Venues
- Performance Evaluation
20 publications · 955 citations
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- Queueing Systems
19 publications · 865 citations
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- European Journal of Operational Research
17 publications · 686 citations
14
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- Advances in Applied Probability
AAP · 15 publications · 837 citations
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- Journal of Applied Probability
JAP · 19 publications · 642 citations
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