Cloud Capacity Planning
Cloud Capacity Planning is a strategic decision-making process within Cloud Economics that determines optimal resource provisioning levels in cloud environments by balancing cost, performance, and scalability demands against uncertain and variable workloads.
1.3K
Publications
76.3K
Citations
3.2K
Authors
1.1K
Institutions
Publications per year
2017–2026
501
1.3K
Albert Greenberg, James R. Hamilton, David A. Maltz et al. · ACM SIGCOMM Computer Communication Review · 2008 · 1.6K citations · Full text
Cloud Computing: Issues and Challenges
Tharam S. Dillon, Chen Wu, Elizabeth Chang · 2010 · 1.3K citations
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The University of Melbourne
Melbourne, Australia
27 h-index
85 publications
32.2K citations

University of Toronto
Toronto, Canada
19 h-index
43 publications
3.3K citations

University of Hong Kong
Pok Fu Lam, Hong Kong
18 h-index
62 publications
4.5K citations
IBM (United States)
Armonk, United States
17 h-index
46 publications
3.5K citations
Nanyang Technological University
Singapore, Singapore
17 h-index
40 publications
4.4K citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
16 h-index
40 publications
2.4K citations
Politecnico di Milano
Milan, Italy
16 h-index
43 publications
2.1K citations

Huazhong University of Science and Technology
Wuhan, China
15 h-index
50 publications
2.8K citations
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FGCS · 80 publications · 12.1K citations
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TPDS · 34 publications · 2K citations
26
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28 publications · 1.7K citations
21
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35 publications · 1.2K citations
21
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35 publications · 1.6K citations
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