Single-server Queue Asymptotics
Single-Server Queue Asymptotics is a theoretical framework within queueing theory that characterizes the limiting behavior of performance metrics in single-server queues under asymptotic regimes, particularly as system load approaches capacity, distinguishing it from multi-server or finite-capacity asymptotic analyses.
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Publications
6.9K
Citations
218
Authors
137
Institutions
Publications per year
2017–2026
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Eindhoven University of Technology
Eindhoven, The Netherlands
11 h-index
16 publications
609 citations
AT&T (United States)
Bedminster, United States
6 h-index
8 publications
624 citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
6 h-index
11 publications
1.3K citations

Cornell University
Ithaca, United States
5 h-index
6 publications
228 citations
Georgia Institute of Technology
Atlanta, United States
5 h-index
6 publications
213 citations
Columbia University
New York, United States
5 h-index
5 publications
83 citations
Sambalpur University
Sambalpur, India
5 h-index
10 publications
182 citations
Universidade Federal de Minas Gerais
Belo Horizonte, Brazil
4 h-index
8 publications
226 citations
1–8 of 137
JAP · 25 publications · 890 citations
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20 publications · 711 citations
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10 publications · 430 citations
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AAP · 9 publications · 293 citations
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7 publications · 266 citations
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