An artificial neural network approach to power consumption model construction for servers in cloud data centers
The power consumption estimation or prediction of cloud servers is the basis of energy-
aware scheduling to realize energy saving in cloud datacenters. The existing works are …
aware scheduling to realize energy saving in cloud datacenters. The existing works are …
An adaptable UI/UX considering user's cognitive and behavior information in distributed environment
User interface (UI) and user experience (UX) is the first thing users come to interact when
accessing internet services. However, UI/UX, which did not put users into consideration …
accessing internet services. However, UI/UX, which did not put users into consideration …
An intelligence energy consumption model based on BP neural network in mobile edge computing
Establishing an accurate edge server power model is helpful for resource providers to
predict and optimize power consumption within edge data centers. Considering the fact that …
predict and optimize power consumption within edge data centers. Considering the fact that …
A hardware-aware CPU power measurement based on the power-exponent function model for cloud servers
The energy consumption of cloud servers accounts for about 25% of the total energy of
cloud data centers. Reducing and optimizing this energy consumption is thus extremely …
cloud data centers. Reducing and optimizing this energy consumption is thus extremely …
How much power does your server consume? Estimating wall socket power using RAPL measurements
Full system electricity intake from the wall socket is important for understanding and
budgeting the power consumption of large scale data centers. Measuring full system power …
budgeting the power consumption of large scale data centers. Measuring full system power …
Estimating power consumption of servers using gaussian mixture model
H Zhu, H Dai, S Yang, Y Yan… - 2017 fifth international …, 2017 - ieeexplore.ieee.org
In a power-aware scheduling system, power models are leveraged as the basis of
estimating the effect of scheduling tasks. Previous studies showed that power consumption …
estimating the effect of scheduling tasks. Previous studies showed that power consumption …
Online energy-efficient deployment based on equivalent continuous DFS for large-scale web cluster
Z Xiong, T Guo, Z Xue, W Cai, L Cai, N Luo - Cluster Computing, 2019 - Springer
How to dynamically deploy web cluster so as to reduce energy consumption and mean-
while satisfy performance requirements is an urgent problem to be resolved. In this paper …
while satisfy performance requirements is an urgent problem to be resolved. In this paper …
[HTML][HTML] Um modelo analítico para estimar o consumo de energia de sistemas multi-camadas no nível de transação
AR Ferreira - 2017 - bdtd.ibict.br
In large-scale data centers, power management techniques such as Dynamic
Voltage/Frequency Scaling (DVFS), virtual machine consolidation, and power-capping …
Voltage/Frequency Scaling (DVFS), virtual machine consolidation, and power-capping …
Study on data center server management system for using server power estimation technology
K Fujita, E Iwasa, M Kaneko - 2022 27th Asia Pacific …, 2022 - ieeexplore.ieee.org
The increasing power consumption in servers is a problem in data centers. One approach to
address this is to optimize physical resource allocation for virtualized functions. For this …
address this is to optimize physical resource allocation for virtualized functions. For this …
Evaluation of non-linear power estimation models in a computing cluster
The data center industry is responsible for 1.5–2% of the world energy consumption. Energy
management technologies have been proposed for energy-efficient scheduling of …
management technologies have been proposed for energy-efficient scheduling of …