Markov Modulated Queueing Models is a class of stochastic queueing models in which the arrival and service processes are modulated by an underlying continuous-time Markov chain, thereby introducing regime-switching dynamics that capture time-inhomogeneous behavior in queueing systems.
156
Publications
7K
Citations
276
Authors
160
Institutions
Publications per year
2017–2026
9
Variants
Markov-modulated Queueing Models
Parents
Publications
156
1–5 of 156
Authors
276
- MM
7
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- JB
6
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- SA
5
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- KD
5
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- DM
4
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1–5 of 276
Institutions
160
Columbia University
New York, United States
10 h-index
15 publications
1.4K citations
University of Amsterdam
Amsterdam, The Netherlands
9 h-index
13 publications
313 citations
Centrum Wiskunde & Informatica
Amsterdam, The Netherlands
9 h-index
21 publications
474 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
7 h-index
8 publications
124 citations
Ghent University
Ghent, Belgium
6 h-index
7 publications
208 citations
AT&T (United States)
Bedminster, United States
5 h-index
8 publications
2.6K citations
University of Wrocław
Wroclaw, Poland
4 h-index
4 publications
90 citations
Hong Kong University of Science and Technology
Hong Kong, Hong Kong
4 h-index
6 publications
148 citations
1–8 of 160
Venues
- Advances in Applied Probability
AAP · 14 publications · 1.6K citations
13
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- Queueing Systems
13 publications · 380 citations
11
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- Journal of Applied Probability
JAP · 8 publications · 143 citations
8
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- IEEE Journal on Selected Areas in Communications
6 publications · 1.5K citations
6
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- Performance Evaluation
5 publications · 91 citations
5
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1–5