Dynamic Scheduling
Dynamic Scheduling is a scheduling approach in which allocation and sequencing decisions are made or revised online during system operation in response to real-time information about job arrivals, resource states, and environmental uncertainties, rather than being fully predetermined before execution.
3.7K
Publications
189.5K
Citations
8.8K
Authors
2K
Institutions
Publications per year
2017–2026
1K
3.7K
1–5 of 3.7K
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2K
Massachusetts Institute of Technology
Cambridge, United States
32 h-index
103 publications
14.6K citations
Carnegie Mellon University
Pittsburgh, United States
29 h-index
95 publications
7.2K citations
Tsinghua University
Beijing, China
29 h-index
128 publications
6.8K citations
University of Illinois Urbana-Champaign
Urbana, United States
28 h-index
82 publications
12.1K citations

Centre National de la Recherche Scientifique
Paris, France
28 h-index
116 publications
4.7K citations
The University of Texas at Austin
Austin, United States
27 h-index
100 publications
4.2K citations

Shanghai Jiao Tong University
Shanghai, China
26 h-index
112 publications
4.6K citations
Nanyang Technological University
Singapore, Singapore
26 h-index
74 publications
3.8K citations
1–8 of 2K
168 publications · 9.4K citations
54
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75 publications · 4.5K citations
41
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68 publications · 5.2K citations
40
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43 publications · 2.9K citations
31
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40 publications · 3.1K citations
29
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