Cloud Scheduling
Cloud Scheduling is a distributed scheduling paradigm that specifically manages and optimizes the allocation of computational tasks to virtualized resources in a cloud computing environment, distinguished by its dynamic scalability, on-demand resource provisioning, and multi-tenancy awareness.
2.9K
Publications
144K
Citations
6.6K
Authors
1.8K
Institutions
Publications per year
2017–2026
1.4K
Variants
Cloud Task Scheduling
2.9K
Heterogeneity and dynamicity of clouds at scale
Charles Reiss, Alexey Tumanov, Gregory R. Ganger et al. · 2012 · 1K citations
Eli Cortez, Anand Bonde, Alexandre Muzio et al. · 2017 · 592 citations
1–5 of 2.9K
6.6K
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1.8K

The University of Melbourne
Melbourne, Australia
38 h-index
122 publications
15.2K citations

South China University of Technology
Guangzhou, China
26 h-index
83 publications
6.9K citations
Tsinghua University
Beijing, China
25 h-index
86 publications
4.3K citations

Beihang University
Beijing, China
24 h-index
67 publications
4.6K citations
Vellore Institute of Technology University
Vellore, India
23 h-index
81 publications
3.2K citations

Beijing University of Posts and Telecommunications
Beijing, China
23 h-index
104 publications
5.7K citations
Indian Institute of Technology Dhanbad
Dhanbad, India
21 h-index
52 publications
2.4K citations

National University of Defense Technology
Changsha, China
20 h-index
102 publications
5.5K citations
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FGCS · 77 publications · 6.6K citations
45
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83 publications · 4.4K citations
41
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82 publications · 4.5K citations
41
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TPDS · 54 publications · 4K citations
35
h-index
70 publications · 3.2K citations
35
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