Fluid Queueing Networks is a mathematical modeling framework within queueing theory that represents customer flows and service processes as continuous deterministic streams, distinguishing it from discrete stochastic queueing models by abstracting away randomness and focusing on average behavior over time.
165
Publications
8.2K
Citations
255
Authors
154
Institutions
Publications per year
2017–2026
21
Variants
Fluid Queuing Networks
Parents
Publications
165
1–5 of 165
Authors
255
- GL
8
h-index
- WW
8
h-index
- HC
7
h-index
- JG
7
h-index
- AD
6
h-index
1–5 of 255
Institutions
154
Columbia University
New York, United States
10 h-index
14 publications
828 citations
Georgia Institute of Technology
Atlanta, United States
9 h-index
13 publications
1K citations
University of Massachusetts Amherst
Amherst Center, United States
9 h-index
27 publications
1.4K citations
University of British Columbia
Vancouver, Canada
8 h-index
9 publications
707 citations
AT&T (United States)
Bedminster, United States
8 h-index
11 publications
972 citations
Université Libre de Bruxelles
Brussels, Belgium
7 h-index
15 publications
772 citations
Cornell University
Ithaca, United States
6 h-index
8 publications
485 citations
Arizona State University
Tempe, United States
4 h-index
8 publications
843 citations
1–8 of 154
Venues
- The Annals of Applied Probability
10 publications · 775 citations
10
h-index
- IEEE Transactions on Automatic Control
10 publications · 647 citations
10
h-index
- Mathematics of Operations Research
10 publications · 732 citations
10
h-index
- Operations Research
9 publications · 815 citations
9
h-index
- Queueing Systems
10 publications · 509 citations
8
h-index
1–5