Multi-cloud Cost Optimization
Multi-Cloud Cost Optimization is a strategic framework in cloud migration economics that enables organizations to minimize expenditure and maximize resource efficiency across multiple cloud service providers through workload placement, resource scaling, and usage monitoring strategies tailored to heterogeneous cloud environments.
16
Publications
472
Citations
60
Authors
28
Institutions
Publications per year
2017–2026
10
Parents
16
Cost optimization for Online Social Networks on geo-distributed clouds
Lei Jiao, Jun Li, Tianyin Xu et al. · 2012 · 25 citations · Full text
1–5 of 16
60
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28
University of California San Diego
San Diego, United States
2 h-index
2 publications
37 citations

University Town of Shenzhen
Shenzhen, China
1 h-index
1 publications
13 citations

Donghua University
Shanghai, China
1 h-index
3 publications
57 citations

University of Göttingen
Göttingen, Germany
1 h-index
2 publications
50 citations
Islamic Azad University Sari Branch
Sari, Iran
1 h-index
1 publications
56 citations

University of Toronto
Toronto, Canada
1 h-index
1 publications
13 citations
Universidad Complutense de Madrid
Madrid, Spain
1 h-index
4 publications
456 citations

Shanghai Jiao Tong University
Shanghai, China
1 h-index
1 publications
62 citations
1–8 of 28
TPDS · 2 publications · 46 citations
2
h-index
1 publications · 24 citations
1
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1 publications · 12 citations
1
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1 publications · 18 citations
1
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ITETBT · 1 publications · 62 citations
1
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1–5