Resource Scaling
Resource Scaling is a strategic framework in edge computing that dynamically adjusts computational, storage, and network resources to meet varying workload demands while optimizing performance, cost, and energy efficiency.
255
Publications
12.5K
Citations
914
Authors
349
Institutions
Publications per year
2017–2026
146
255
PRESS: PRedictive Elastic ReSource Scaling for cloud systems
Zhenhuan Gong, Xiaohui Gu, John Wilkes · 2010 · 541 citations
Marcos Dias de Assunção, Alexandre da Silva Veith, Rajkumar Buyya · Journal of Network and Computer Applications · 2017 · 300 citations · Full text
Nature Communications · 2021 · 247 citations · Full text
Computing, Computer Science, Physics +17
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349
Aalto University
Espoo, Finland
7 h-index
18 publications
769 citations
Tsinghua University
Beijing, China
7 h-index
20 publications
493 citations
Carnegie Mellon University
Pittsburgh, United States
6 h-index
14 publications
590 citations
University of Southern California
Los Angeles, United States
5 h-index
9 publications
720 citations
California Institute of Technology
Pasadena, United States
5 h-index
9 publications
486 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
5 h-index
12 publications
299 citations
Institut de Recherche en Informatique et Systèmes Aléatoires
Rennes, France
4 h-index
5 publications
230 citations
University of Cambridge
Cambridge, United Kingdom
4 h-index
9 publications
396 citations
1–8 of 349
9 publications · 262 citations
9
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TNSM · 7 publications · 350 citations
7
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4 publications · 198 citations
4
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4 publications · 85 citations
4
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TPDS · 3 publications · 178 citations
3
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1–5