Device-aware Placement
Device-Aware Placement is a service placement strategy that belongs to the class of edge computing resource allocation methods, distinguished by its explicit consideration of heterogeneous device capabilities, constraints, and operational contexts in determining optimal deployment locations for edge services.
12
Publications
781
Citations
58
Authors
23
Institutions
Publications per year
2017–2026
10
Parents
12
Device Placement Optimization with Reinforcement Learning
Azalia Mirhoseini, Hieu Pham, Quoc V. Le et al. · arXiv (Cornell University) · 2017 · 222 citations · Full text
Device Placement Optimization with Reinforcement Learning
Azalia Mirhoseini, Hieu Pham, Quoc V. Le et al. · arXiv (Cornell University) · 2017 · 121 citations · Full text
A Hierarchical Model for Device Placement
Azalia Mirhoseini, Anna Goldie, Hieu Pham et al. · International Conference on Learning Representations · 2018 · 91 citations
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58
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23
Google (United States)
Mountain View, United States
3 h-index
25 publications
3.9K citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
4 publications
133 citations
École Polytechnique Fédérale de Lausanne
Lausanne, Switzerland
1 h-index
1 publications
15 citations
University of Delaware
Newark, United States
1 h-index
1 publications
131 citations

Beihang University
Beijing, China
1 h-index
5 publications
655 citations
China Medical University Hospital
Taichung, Taiwan
1 h-index
1 publications
24 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
1 h-index
1 publications
24 citations
Northeastern University
Boston, United States
1 h-index
1 publications
15 citations
1–8 of 23
Repository · 3 publications · 358 citations
3
h-index
1 publications · 44 citations
1
h-index
1 publications · 131 citations
1
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MONET · 1 publications · 24 citations
1
h-index
1 publications · 20 citations
1
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1–5