Workload Process Approximation
Workload Process Approximation is a stochastic process model in queueing theory that approximates the evolution of system workload under heavy-traffic conditions by diffusive scaling, distinguishing itself through its focus on aggregate service demand as a unified measure of congestion dynamics.
8
Publications
237
Citations
17
Authors
13
Institutions
Publications per year
2017–2026
1
Parents
8
1–5 of 8
17
3
h-index
2
h-index
1
h-index
1
h-index
1
h-index
1–5 of 17
13
University of California San Diego
San Diego, United States
3 h-index
5 publications
153 citations
Columbia University
New York, United States
2 h-index
3 publications
84 citations
University of Maryland, Baltimore County
Baltimore, United States
1 h-index
1 publications
47 citations

University of Amsterdam
Amsterdam, The Netherlands
1 h-index
1 publications
56 citations
Centrum Wiskunde & Informatica
Amsterdam, The Netherlands
1 h-index
2 publications
38 citations
University of Cambridge
Cambridge, United Kingdom
1 h-index
1 publications
29 citations

Tilburg University
Tilburg, The Netherlands
1 h-index
1 publications
56 citations

University of Minnesota
Minneapolis, United States
1 h-index
1 publications
19 citations
1–8 of 13
1 publications · 19 citations
1
h-index
1 publications · 14 citations
1
h-index
1 publications · 17 citations
1
h-index
1 publications · 56 citations
1
h-index
1 publications · 47 citations
1
h-index
1–5