Heavy-Traffic Approximations is a mathematical modeling technique in queuing theory that characterizes the asymptotic behavior of queueing systems under conditions of near-saturation by approximating their stochastic processes with diffusion processes when traffic intensity approaches unity.
475
Publications
22.6K
Citations
772
Authors
357
Institutions
Publications per year
2017–2026
50
Variants
Heavy-traffic Approximation
Parents
Publications
475
Resource pricing and the evolution of congestion control
Richard Gibbens, F. P. Kelly · Automatica · 1999 · 551 citations
Real-time status updating: Multiple sources
Roy D. Yates, Sanjit K. Kaul · 2012 · 361 citations
1–5 of 475
Authors
772
- WW
17
h-index
- JM
10
h-index
- MI
9
h-index
- LM
8
h-index
- BZ
7
h-index
1–5 of 772
Institutions
357
AT&T (United States)
Bedminster, United States
20 h-index
37 publications
3.2K citations
Columbia University
New York, United States
14 h-index
25 publications
1.3K citations
Stanford University
Stanford, United States
13 h-index
21 publications
1.5K citations
Massachusetts Institute of Technology
Cambridge, United States
12 h-index
13 publications
894 citations
Georgia Institute of Technology
Atlanta, United States
11 h-index
12 publications
450 citations
Carnegie Mellon University
Pittsburgh, United States
11 h-index
19 publications
1.2K citations
Centrum Wiskunde & Informatica
Amsterdam, The Netherlands
11 h-index
21 publications
427 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
11 h-index
22 publications
330 citations
1–8 of 357
Venues
- Operations Research
26 publications · 1.8K citations
22
h-index
- Queueing Systems
29 publications · 1K citations
18
h-index
- Journal of Applied Probability
JAP · 27 publications · 891 citations
16
h-index
- The Annals of Applied Probability
19 publications · 1.8K citations
16
h-index
- Performance Evaluation
27 publications · 793 citations
16
h-index
1–5