Large-scale Queueing Networks
Large-Scale Queueing Networks is a mathematical modeling framework within the theory of stochastic systems that characterizes complex networks of queues with a high number of interacting service stations, distinguished by their asymptotic analysis and scalability properties to approximate performance metrics in large systems.
148
Publications
5.6K
Citations
282
Authors
136
Institutions
Publications per year
2017–2026
23
Parents
148
Fluid models and solutions for large-scale IP networks
Yong Liu, Francesco Lo Presti, Vishal Misra et al. · 2003 · 138 citations
1–5 of 148
282
5
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University of Illinois Urbana-Champaign, United States
5 publications · 91 citations
5
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4
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3
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3
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1–5 of 282
136
Columbia University
New York, United States
10 h-index
12 publications
858 citations
AT&T (United States)
Bedminster, United States
6 h-index
8 publications
433 citations
The Ohio State University
Columbus, United States
5 h-index
7 publications
237 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
4 h-index
10 publications
193 citations

University of Massachusetts Amherst
Amherst Center, United States
4 h-index
10 publications
543 citations

University of Toronto
Toronto, Canada
4 h-index
10 publications
262 citations
Nokia (United States)
Coppell, United States
3 h-index
4 publications
169 citations
University of Maryland, College Park
College Park, United States
3 h-index
5 publications
222 citations
1–8 of 136
9 publications · 313 citations
9
h-index
8 publications · 706 citations
8
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JAP · 4 publications · 126 citations
4
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4 publications · 99 citations
4
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AAP · 4 publications · 106 citations
4
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1–5