Workload-Aware Scheduling is a scheduling methodology that belongs to the class of input/output and resource management techniques, distinguished by its explicit adaptation of scheduling decisions to the dynamic characteristics and access patterns of prevailing workloads in serverless database environments.
122
Publications
5.1K
Citations
381
Authors
178
Institutions
Publications per year
2017–2026
35
Publications
122
Workload-based multi-task scheduling in cloud manufacturing
Yongkui Liu, Xun Xu, Long Wang et al. · Robotics and Computer-Integrated Manufacturing · 2016 · 232 citations
Task assignment with unknown duration
Journal of the ACM · 2002 · 192 citations
1–5 of 122
Authors
381
- AW
4
h-index
- ES
4
h-index
- MG
3
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- RS
3
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- MH
3
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1–5 of 381
Institutions
178
Carnegie Mellon University
Pittsburgh, United States
8 h-index
19 publications
1.4K citations
Shanghai Jiao Tong University
Shanghai, China
5 h-index
11 publications
282 citations
University of Illinois Urbana-Champaign
Urbana, United States
5 h-index
5 publications
343 citations
Hewlett-Packard (United States)
Palo Alto, United States
5 h-index
8 publications
232 citations
William & Mary
Williamsburg, United States
4 h-index
8 publications
300 citations
Williams (United States)
Tulsa, United States
3 h-index
5 publications
270 citations
University of Waterloo
Waterloo, Canada
3 h-index
7 publications
279 citations
IBM (United States)
Armonk, United States
3 h-index
6 publications
418 citations
1–8 of 178
Venues
- Future Generation Computer Systems
FGCS · 3 publications · 101 citations
3
h-index
- The Journal of Supercomputing
2 publications · 100 citations
2
h-index
- Proceedings of the VLDB Endowment
PVLDB · 2 publications · 84 citations
2
h-index
- IEEE Transactions on Cloud Computing
2 publications · 62 citations
2
h-index
- Journal of Cloud Computing Advances Systems and Applications
2 publications · 123 citations
2
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1–5