Predictive Placement
Predictive Placement is a workload placement strategy that belongs to the class of proactive resource allocation methods, distinguished by its use of historical data and machine learning models to forecast future workload demands and optimize the spatial distribution of services at the network edge.
24
Publications
817
Citations
80
Authors
33
Institutions
Publications per year
2017–2026
18
24
Load management in distributed video servers
Nalini Venkatasubramanian, S. Ramanathan · 2002 · 77 citations
Global Placement with Deep Learning-Enabled Explicit Routability Optimization
Siting Liu, Qi Sun, Peiyu Liao et al. · 2021 · 58 citations
Computing, Computational Engineering, Design Optimization +16
1–5 of 24
80
2
h-index
2
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2
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1
h-index
University of California, Irvine, United States
1 publications · 77 citations
1
h-index
1–5 of 80
33

Sun Yat-sen University
Guangzhou, China
2 h-index
6 publications
273 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
2 h-index
8 publications
156 citations
Tsinghua University
Beijing, China
1 h-index
6 publications
342 citations
Koneru Lakshmaiah Education Foundation
Vijayawada, India
1 h-index
1 publications
44 citations
University of Houston
Houston, United States
1 h-index
1 publications
24 citations
Marymount University
Arlington, United States
1 h-index
2 publications
24 citations
MIT Art, Design and Technology University
Pune, India
1 h-index
1 publications
44 citations
Qualcomm (United States)
San Diego, United States
1 h-index
2 publications
132 citations
1–8 of 33
Conference · 1 publications · 13 citations
1
h-index
Conference · 1 publications · 18 citations
1
h-index
1 publications · 14 citations
1
h-index
1 publications · 44 citations
1
h-index
1 publications · 36 citations
1
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1–5