Workload forecasting and energy state estimation in cloud data centres: ML-centric approach

T Khan, W Tian, S Ilager, R Buyya - Future Generation Computer Systems, 2022 - Elsevier
Resource management in data centres continues to be a critical problem due to increased
infrastructure complexity and dynamic workload conditions. Workload and energy …
被引用次数：59 相关文章
[PDF] academia.edu

[PDF][PDF] Workload forecasting and energy state estimation in cloud data centres: ML-centric approach

T Khan, W Tian, S Ilager, R Buyya - Future Generation Computer …, 2022 - academia.edu
abstract Resource management in data centres continues to be a critical problem due to
increased infrastructure complexity and dynamic workload conditions. Workload and energy …

Workload forecasting and energy state estimation in cloud data centres:: ML-centric approach

T Khan, W Tian, S Ilager, R Buyya - 2022 - dl.acm.org
Resource management in data centres continues to be a critical problem due to increased
infrastructure complexity and dynamic workload conditions. Workload and energy …
[PDF] github.io

[PDF][PDF] Workload forecasting and energy state estimation in cloud data centres: ML-centric approach

T Khan, W Tian, S Ilager… - Future Generation …, 2022 - shashikantilager.github.io
abstract Resource management in data centres continues to be a critical problem due to
increased infrastructure complexity and dynamic workload conditions. Workload and energy …
[PDF] shashikantilager.com

[PDF][PDF] Workload forecasting and energy state estimation in cloud data centres: ML-centric approach

T Khan, W Tian, S Ilager… - Future Generation …, 2022 - shashikantilager.com
abstract Resource management in data centres continues to be a critical problem due to
increased infrastructure complexity and dynamic workload conditions. Workload and energy …
[PDF] academia.edu

[PDF][PDF] Workload forecasting and energy state estimation in cloud data centres: ML-centric approach

T Khan, W Tian, S Ilager, R Buyya - Future Generation Computer …, 2022 - academia.edu
abstract Resource management in data centres continues to be a critical problem due to
increased infrastructure complexity and dynamic workload conditions. Workload and energy …