Data center energy consumption modeling: A survey
M Dayarathna, Y Wen, R Fan - IEEE Communications surveys …, 2015 - ieeexplore.ieee.org
Data centers are critical, energy-hungry infrastructures that run large-scale Internet-based
services. Energy consumption models are pivotal in designing and optimizing energy …
services. Energy consumption models are pivotal in designing and optimizing energy …
Modeling, profiling, and debugging the energy consumption of mobile devices
Software energy profilers are the tools to measure the energy consumption of mobile
devices, applications running on those devices, and various hardware components. They …
devices, applications running on those devices, and various hardware components. They …
[PDF][PDF] An analysis of power consumption in a smartphone
Mobile consumer-electronics devices, especially phones, are powered from batteries which
are limited in size and therefore capacity. This implies that managing energy well is …
are limited in size and therefore capacity. This implies that managing energy well is …
RAPL: Memory power estimation and capping
H David, E Gorbatov, UR Hanebutte… - Proceedings of the 16th …, 2010 - dl.acm.org
The drive for higher performance and energy efficiency in data-centers has influenced
trends toward increased power and cooling requirements in the facilities. Since enterprise …
trends toward increased power and cooling requirements in the facilities. Since enterprise …
Virtual machine power metering and provisioning
Virtualization is often used in cloud computing platforms for its several advantages in
efficiently managing resources. However, virtualization raises certain additional challenges …
efficiently managing resources. However, virtualization raises certain additional challenges …
Fine-grained power modeling for smartphones using system call tracing
Accurate, fine-grained online energy estimation and accounting of mobile devices such as
smartphones is of critical importance to understanding and debugging the energy …
smartphones is of critical importance to understanding and debugging the energy …
Autoscale: Energy efficiency optimization for stochastic edge inference using reinforcement learning
Deep learning inference is increasingly run at the edge. As the programming and system
stack support becomes mature, it enables acceleration opportunities in a mobile system …
stack support becomes mature, it enables acceleration opportunities in a mobile system …
[PDF][PDF] Evaluating the effectiveness of model-based power characterization
Accurate power characterization is important in computing platforms for several reasons
ranging from poweraware adaptation to power provisioning. Power characterization is …
ranging from poweraware adaptation to power provisioning. Power characterization is …
Complete system power estimation using processor performance events
WL Bircher, LK John - IEEE Transactions on Computers, 2011 - ieeexplore.ieee.org
This paper proposes the use of microprocessor performance counters for online
measurement of complete system power consumption. The approach takes advantage of …
measurement of complete system power consumption. The approach takes advantage of …
Koala: A platform for OS-level power management
Managing the power consumption of computing platforms is a complicated problem thanks
to a multitude of hardware configuration options and characteristics. Much of the academic …
to a multitude of hardware configuration options and characteristics. Much of the academic …