Autoscaling Algorithms
Autoscaling Algorithms is a computational method within elastic resource management that dynamically adjusts the allocation of computing resources in response to varying workload demands by automatically provisioning or deprovisioning infrastructure based on predefined performance or cost-related thresholds.
101
Publications
4.1K
Citations
304
Authors
128
Institutions
Publications per year
2017–2026
65
Variants
Auto-scaling Algorithms
Parents
101
Valter Rogério Messias, Júlio Cézar Estrella, Ricardo S. Ehlers et al. · Neural Computing and Applications · 2015 · 104 citations · Full text
1–5 of 101
304
5
h-index
IBM Research - Thomas J. Watson Research Center, United States
5 publications · 213 citations
5
h-index
4
h-index
4
h-index
Universidad Nacional del Centro de la Provincia de Buenos Aires, Argentina
4 publications · 96 citations
4
h-index
1–5 of 304
128
Stony Brook University
Stony Brook, United States
4 h-index
7 publications
197 citations

University of Colorado Denver
Denver, United States
4 h-index
8 publications
316 citations
Centro Científico Tecnológico - Tandil
Tandil, Argentina
4 h-index
6 publications
158 citations

Universidad Nacional del Centro de la Provincia de Buenos Aires
Tandil, Argentina
4 h-index
6 publications
158 citations
Universidad Nacional de Cuyo
Mendoza, Argentina
4 h-index
11 publications
255 citations
Islamic Azad University of Parand
Robāţ Karīm, Iran
3 h-index
3 publications
53 citations
IBM (United States)
Armonk, United States
3 h-index
7 publications
324 citations
Karlstad University
Karlstad, Sweden
3 h-index
4 publications
108 citations
1–8 of 128
4 publications · 174 citations
5
h-index
FGCS · 5 publications · 180 citations
5
h-index
3 publications · 146 citations
3
h-index
2 publications · 34 citations
2
h-index
2 publications · 52 citations
2
h-index
1–5