Resource Right-sizing
Resource Right-Sizing is a cloud cost optimization method that involves adjusting the computational, storage, and memory capacity of cloud resources to align precisely with the actual performance and demand requirements of rehosted workloads, thereby eliminating over-provisioning and minimizing operational expenditure.
15
Publications
1.3K
Citations
44
Authors
22
Institutions
Publications per year
2017–2026
4
15
Dynamic right-sizing for power-proportional data centers
Minghong Lin, Adam Wierman, Lachlan L. H. Andrew et al. · 2011 · 445 citations
Dynamic Right-Sizing for Power-Proportional Data Centers
Minghong Lin, Adam Wierman, Andrew et al. · IEEE/ACM Transactions on Networking · 2012 · 442 citations · Full text
Carbon-Aware Load Balancing for Geo-distributed Cloud Services
Zhi Zhou, Fangming Liu, Xu Yong et al. · 2013 · 91 citations
A study of pricing for cloud resources
Hong Xu, Baochun Li · ACM SIGMETRICS Performance Evaluation Review · 2013 · 61 citations
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California Institute of Technology
Pasadena, United States
2 h-index
3 publications
1.3K citations
Swinburne University of Technology
Melbourne, Australia
2 h-index
2 publications
887 citations

Huazhong University of Science and Technology
Wuhan, China
2 h-index
9 publications
839 citations

University of Toronto
Toronto, Canada
2 h-index
3 publications
213 citations
University of Sheffield
Sheffield, United Kingdom
1 h-index
1 publications
45 citations
Simon Fraser University
Burnaby, Canada
1 h-index
1 publications
96 citations
Hewlett-Packard (United States)
Palo Alto, United States
1 h-index
1 publications
16 citations
University of Illinois Urbana-Champaign
Urbana, United States
1 h-index
1 publications
16 citations
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1 publications · 45 citations
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1 publications · 10 citations
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JAPA · 1 publications · 15 citations
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TPDS · 1 publications · 96 citations
1
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1 publications · 12 citations
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