Cloud Demand Forecasting
Cloud Demand Forecasting is a predictive modeling approach that estimates future utilization of cloud computing resources by analyzing historical usage patterns, system metrics, and external variables to support capacity planning and resource allocation in cloud environments.
39
Publications
1.4K
Citations
127
Authors
66
Institutions
Publications per year
2017–2026
22
Parents
39
Pricing cloud bandwidth reservations under demand uncertainty
Di Niu, Chen Feng, Baochun Li · 2012 · 110 citations
ASAP: A Self-Adaptive Prediction System for Instant Cloud Resource Demand Provisioning
Yexi Jiang, Chang-Shing Perng, Tao Li et al. · 2011 · 79 citations
Zhijia Chen, Yuanchang Zhu, Yanqiang Di et al. · Computational Intelligence and Neuroscience · 2015 · 76 citations · Full text
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66
Florida International University
Miami, United States
4 h-index
6 publications
250 citations
Amirkabir University of Technology
Tehran, Iran
4 h-index
7 publications
318 citations
IBM (United States)
Armonk, United States
3 h-index
7 publications
373 citations
IBM Research - Thomas J. Watson Research Center
Yorktown Heights, United States
2 h-index
4 publications
136 citations

University of Toronto
Toronto, Canada
2 h-index
6 publications
492 citations
University of Miami
Coral Gables, United States
2 h-index
4 publications
262 citations

Research Triangle Park Foundation
Durham, United States
2 h-index
14 publications
168 citations
National Tsing Hua University
Hsinchu, Taiwan
2 h-index
3 publications
140 citations
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2 publications · 119 citations
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FGCS · 2 publications · 81 citations
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2 publications · 70 citations
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1 publications · 14 citations
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1 publications · 58 citations
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