Many-server Queue Asymptotics
Many-Server Queue Asymptotics is a mathematical framework in queueing theory that characterizes the limiting behavior of queueing systems with a large number of servers under heavy-traffic conditions, distinguishing itself by scaling the number of servers and arrival rates jointly to study performance metrics in asymptotic regimes.
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2.7K
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78
Authors
55
Institutions
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2017–2026
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A Many-Server Queue with Service Interruptions
I. L. Mitrany, Benjamin Avi-Itzhak · Operations Research · 1968 · 213 citations
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Technion – Israel Institute of Technology
Haifa, Israel
9 h-index
15 publications
1.8K citations

University of Twente
Enschede, The Netherlands
4 h-index
5 publications
158 citations
Georgia Institute of Technology
Atlanta, United States
4 h-index
5 publications
328 citations
Eindhoven University of Technology
Eindhoven, The Netherlands
4 h-index
4 publications
88 citations
Columbia University
New York, United States
3 h-index
6 publications
136 citations
University of Illinois Chicago
Chicago, United States
3 h-index
4 publications
44 citations
University of Cambridge
Cambridge, United Kingdom
3 h-index
4 publications
302 citations
University of Michigan
Ann Arbor, United States
3 h-index
6 publications
127 citations
1–8 of 55
9 publications · 505 citations
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JAP · 8 publications · 423 citations
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7 publications · 467 citations
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5 publications · 288 citations
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4 publications · 387 citations
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