Predictive Scaling
Predictive Scaling is an elastic resource management technique that proactively adjusts computing resources based on forecasted workload patterns using historical data and machine learning models to optimize performance and efficiency.
79
Publications
4.6K
Citations
273
Authors
114
Institutions
Publications per year
2017–2026
40
Parents
79
PRESS: PRedictive Elastic ReSource Scaling for cloud systems
Zhenhuan Gong, Xiaohui Gu, John Wilkes · 2010 · 541 citations
Tiziana Di Matteo · Quantitative Finance · 2007 · 371 citations · Full text
Quality-assured cloud bandwidth auto-scaling for video-on-demand applications
Di Niu, Hong Xu, Baochun Li et al. · 2012 · 184 citations
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114

University of the Punjab
Lahore, Pakistan
5 h-index
14 publications
550 citations

Carleton University
Ottawa, Canada
5 h-index
15 publications
633 citations
Information Technology University
Lahore, Pakistan
4 h-index
12 publications
590 citations
University of Virginia
Charlottesville, United States
3 h-index
10 publications
478 citations

Qatar University
Doha, Qatar
3 h-index
3 publications
117 citations

Barcelona Supercomputing Center
Barcelona, Spain
2 h-index
5 publications
339 citations
Universitat Politècnica de Catalunya
Barcelona, Spain
2 h-index
5 publications
339 citations

Northeastern University
Shenyang, China
2 h-index
4 publications
58 citations
1–8 of 114
4 publications · 189 citations
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3 publications · 165 citations
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3 publications · 86 citations
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GJI · 2 publications · 74 citations
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Repository · 2 publications · 41 citations
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