Elasticity Forecasting

Elasticity Forecasting is a computational method in cloud resource management that predicts the dynamic scalability of computing resources in response to varying workloads, distinguishing itself by quantifying the temporal responsiveness and adaptability of cloud infrastructure to demand fluctuations.

Publications

228

Citations

Authors

Institutions

Publications per year

2017–2026

Parents

Cloud Forecasting

Publications

Long-term SLOs for reclaimed cloud computing resources

Marcus Carvalho, Walfredo Cirne, Francisco Brasileiro et al. · 2014 · 90 citations · Full text

Computing, Cloud Computing, Cloud Architecture +16

A Forecasting Methodology for Workload Forecasting in Cloud Systems

Francisco J. Baldán, Sergio Ramírez‐Gallego, Christoph Bergmeir et al. · IEEE Transactions on Cloud Computing · 2016 · 54 citations · Full text

Computing, Cloud Computing, Computer Science +17

Workload prediction for cloud computing elasticity mechanism

Yazhou Hu, Bo Deng, Fuyang Peng et al. · 2016 · 52 citations

Computing, Cloud Computing, Computer Science +15

A Coordinated Reactive and Predictive Approach to Cloud Elasticity

L R Moore, Kathryn Bean, Tariq Ellahi · 2013 · 32 citations

Computing, Cloud Computing, Computer Science +16

1–4 of 4

Authors

JW
John Wilkes
Hewlett-Packard (United States), United States
1 publications · 90 citations
1
h-index
YH
Yazhou Hu
1 publications · 52 citations
1
h-index
FB
Francisco Brasileiro
Universidade Federal de Campina Grande, Brazil
1 publications · 90 citations
1
h-index
FJ
Francisco J. Baldán
Universidad de Granada, Spain
1 publications · 54 citations
1
h-index
JM
José M. Benítez
Universidad de Granada, Spain
1 publications · 54 citations
1
h-index

1–5 of 16

Institutions

1–5 of 5

Venues

IEEE Transactions on Cloud Computing
1 publications · 54 citations
1
h-index

1–1