Heavy-Traffic Limits is a theoretical framework in queueing theory that characterizes the asymptotic behavior of stochastic systems under conditions of near-saturation, distinguishing itself by leveraging diffusion approximations to describe system performance metrics as traffic intensity approaches unity.
140
Publications
7.8K
Citations
166
Authors
84
Institutions
Publications per year
2017–2026
13
Publications
140
Heavy-Traffic Limits for Queues with Many Exponential Servers
S. Halfin, Ward Whitt · Operations Research · 1981 · 771 citations
Reflected Brownian Motion on an Orthant
J. Michael Harrison, Martin I. Reiman · The Annals of Probability · 1981 · 406 citations · Full text
Ward Whitt · Management Science · 1989 · 208 citations
1–5 of 140
Authors
166
- WW
25
h-index
- MI
10
h-index
- GP
9
h-index
- LY
6
h-index
- RS
6
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1–5 of 166
Institutions
84
Columbia University
New York, United States
18 h-index
37 publications
2.1K citations
AT&T (United States)
Bedminster, United States
12 h-index
15 publications
743 citations
Stanford University
Stanford, United States
7 h-index
9 publications
716 citations
University of Illinois Urbana-Champaign
Urbana, United States
6 h-index
8 publications
417 citations
Alcatel Lucent (Germany)
Stuttgart, Germany
5 h-index
8 publications
318 citations
Pennsylvania State University
State College, United States
5 h-index
7 publications
152 citations
Arizona State University
Tempe, United States
5 h-index
10 publications
861 citations
Carnegie Mellon University
Pittsburgh, United States
5 h-index
12 publications
511 citations
1–8 of 84
Venues
- The Annals of Applied Probability
16 publications · 897 citations
13
h-index
- Operations Research
12 publications · 1.4K citations
11
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- Queueing Systems
11 publications · 466 citations
11
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- Advances in Applied Probability
AAP · 11 publications · 961 citations
11
h-index
- Journal of Applied Probability
JAP · 11 publications · 253 citations
11
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1–5