Resource-aware Scheduling
Resource-Aware Scheduling is a workflow orchestration strategy that belongs to the class of scheduling methods and is differentiated by its explicit consideration of computational resource availability, constraints, and utilization efficiency when determining the execution order and placement of tasks.
518
Publications
26.9K
Citations
1.5K
Authors
573
Institutions
Publications per year
2017–2026
229
518
Distributed Event-Triggered Estimation Over Sensor Networks: A Survey
Xiaohua Ge, Qing‐Long Han, Xian‐Ming Zhang et al. · IEEE Transactions on Cybernetics · 2019 · 490 citations · Full text
Efficient coflow scheduling with Varys
Mosharaf Chowdhury, Yuan Zhong, Ion Stoica · 2014 · 432 citations · Full text
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573

The University of Melbourne
Melbourne, Australia
15 h-index
35 publications
4.2K citations

Beijing University of Posts and Telecommunications
Beijing, China
10 h-index
26 publications
1K citations
Vellore Institute of Technology University
Vellore, India
9 h-index
16 publications
629 citations

Southeast University
Nanjing, China
9 h-index
22 publications
1.1K citations

The University of Sydney
Sydney, Australia
9 h-index
18 publications
715 citations

Beijing Institute of Technology
Beijing, China
9 h-index
33 publications
990 citations
Wayne State University
Detroit, United States
7 h-index
13 publications
711 citations
University of California, Berkeley
Berkeley, United States
7 h-index
23 publications
4.3K citations
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FGCS · 36 publications · 2.6K citations
27
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26 publications · 895 citations
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17 publications · 778 citations
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16 publications · 821 citations
14
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9 publications · 606 citations
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