Auto-scaling
Auto-Scaling is a cloud resource management framework that dynamically adjusts computing resources in response to workload fluctuations, distinguishing itself by enabling elastic scalability through automated provisioning and deprovisioning of infrastructure in accordance with predefined policies or real-time demand metrics.
462
Publications
18.2K
Citations
1.4K
Authors
513
Institutions
Publications per year
2017–2026
304
462
Anshul Gandhi, Mor Harchol‐Balter, Ram Raghunathan et al. · ACM Transactions on Computer Systems · 2012 · 297 citations
Cloud auto-scaling with deadline and budget constraints
Ming Mao, Jie Li, Marty Humphrey · 2010 · 288 citations
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513

The University of Melbourne
Melbourne, Australia
13 h-index
13 publications
940 citations

Carleton University
Ottawa, Canada
11 h-index
11 publications
442 citations

Umeå University
Umeå, Sweden
9 h-index
9 publications
500 citations
University of Würzburg
Würzburg, Germany
8 h-index
8 publications
278 citations

University of Toronto
Toronto, Canada
7 h-index
7 publications
332 citations

Shanghai Jiao Tong University
Shanghai, China
7 h-index
7 publications
174 citations
Technical University of Munich
Munich, Germany
7 h-index
7 publications
122 citations
Dublin City University
Dublin, Ireland
6 h-index
6 publications
474 citations
1–8 of 513
FGCS · 15 publications · 569 citations
14
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11 publications · 576 citations
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12 publications · 475 citations
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10 publications · 315 citations
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TNSM · 7 publications · 330 citations
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