Edge-aware Scheduling
Edge-Aware Scheduling is a computational resource management strategy that, as a refinement of general task scheduling methodologies, incorporates real-time awareness of edge infrastructure constraints—such as latency, bandwidth, device heterogeneity, and geographic distribution—to optimize task placement and execution at the network edge.
114
Publications
5.8K
Citations
444
Authors
181
Institutions
Publications per year
2017–2026
108
Parents
114
Resource Scheduling in Edge Computing: A Survey
Quyuan Luo, Shihong Hu, Changle Li et al. · IEEE Communications Surveys & Tutorials · 2021 · 517 citations
Edge-centric modulo scheduling for coarse-grained reconfigurable architectures
Hyunchul Park, Kevin Fan, Scott Mahlke et al. · 2008 · 197 citations
1–5 of 114
444
National and Kapodistrian University of Athens, Greece
3 publications · 87 citations
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3
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3
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3
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3
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1–5 of 444
181
Tsinghua University
Beijing, China
5 h-index
10 publications
416 citations
Wuhan University of Technology
Wuhan, China
5 h-index
15 publications
730 citations

University of Electronic Science and Technology of China
Chengdu, China
4 h-index
11 publications
847 citations
Peng Cheng Laboratory
Shenzhen, China
3 h-index
4 publications
144 citations
University of Virginia
Charlottesville, United States
3 h-index
11 publications
494 citations

Harbin Institute of Technology
Harbin, China
3 h-index
6 publications
176 citations
PLA Army Engineering University
Nanjing, China
3 h-index
6 publications
144 citations
Sungkyunkwan University
Seoul, South Korea
3 h-index
7 publications
164 citations
1–8 of 181
FGCS · 11 publications · 787 citations
11
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JSA · 6 publications · 312 citations
6
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4 publications · 240 citations
4
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4 publications · 157 citations
4
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4 publications · 616 citations
4
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