Adaptive Scheduling
Adaptive Scheduling is a scheduling paradigm within parallel and distributed computing systems that dynamically adjusts task execution timelines and resource allocations in response to runtime variations in workload, system conditions, or quality-of-service requirements to optimize performance, predictability, or energy efficiency.
732
Publications
29.1K
Citations
2.2K
Authors
720
Institutions
Publications per year
2017–2026
178
732
Heuristics for scheduling parameter sweep applications in grid environments
Henri Casanova, Arnaud Legrand, Dmitrii Zagorodnov et al. · 2002 · 570 citations · Full text
Elastic task model for adaptive rate control
Giorgio Buttazzo, Giuseppe Lipari, Luca Abeni · 2002 · 285 citations
1–5 of 732
2.2K
9
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Massachusetts Institute of Technology, United States
6 publications · 252 citations
6
h-index
6
h-index
1–5 of 2.2K
720
The University of Texas at Austin
Austin, United States
14 h-index
41 publications
2.1K citations
Nanyang Technological University
Singapore, Singapore
13 h-index
31 publications
1.1K citations
University of Illinois Urbana-Champaign
Urbana, United States
13 h-index
27 publications
1.3K citations
Massachusetts Institute of Technology
Cambridge, United States
11 h-index
27 publications
1K citations

Scuola Superiore Sant'Anna
Pisa, Italy
10 h-index
24 publications
2.1K citations
University of Southern California
Los Angeles, United States
10 h-index
15 publications
595 citations

Huazhong University of Science and Technology
Wuhan, China
10 h-index
32 publications
854 citations

Shanghai Jiao Tong University
Shanghai, China
10 h-index
33 publications
1.8K citations
1–8 of 720
TPDS · 22 publications · 2.2K citations
21
h-index
13 publications · 460 citations
13
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12 publications · 354 citations
12
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12 publications · 726 citations
11
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FGCS · 9 publications · 548 citations
9
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