Critical power slope: understanding the runtime effects of frequency scaling
ICS '02 Proceedings of the 16th international conference on Supercomputing
Process cruise control: event-driven clock scaling for dynamic power management
CASES '02 Proceedings of the 2002 international conference on Compilers, architecture, and synthesis for embedded systems
Scheduling for reduced CPU energy
OSDI '94 Proceedings of the 1st USENIX conference on Operating Systems Design and Implementation
Koala: a platform for OS-level power management
Proceedings of the 4th ACM European conference on Computer systems
Resource-conscious scheduling for energy efficiency on multicore processors
Proceedings of the 5th European conference on Computer systems
Dynamic voltage and frequency scaling: the laws of diminishing returns
HotPower'10 Proceedings of the 2010 international conference on Power aware computing and systems
The case for sleep states in servers
HotPower '11 Proceedings of the 4th Workshop on Power-Aware Computing and Systems
SEEP: exploiting symbolic execution for energy-aware programming
HotPower '11 Proceedings of the 4th Workshop on Power-Aware Computing and Systems
SEEP: exploiting symbolic execution for energy-aware programming
ACM SIGOPS Operating Systems Review
Power consumption in enterprise-scale backup storage systems
FAST'12 Proceedings of the 10th USENIX conference on File and Storage Technologies
Accurate characterization of the variability in power consumption in modern mobile processors
HotPower'12 Proceedings of the 2012 USENIX conference on Power-Aware Computing and Systems
On understanding the energy consumption of ARM-based multicore servers
Proceedings of the ACM SIGMETRICS/international conference on Measurement and modeling of computer systems
Agile, efficient virtualization power management with low-latency server power states
Proceedings of the 40th Annual International Symposium on Computer Architecture
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Energy consumption has become a major concern for all computing systems, from servers in data-centres to mobile phones. Processor manufacturers have reacted to this by implementing power-management mechanisms in the hardware and researchers have investigated how operating systems can make use of those mechanisms to minimise energy consumption. Much of this research has focused on a single class of systems and compute-intensive workloads. Missing is an examination of how much energy can actually be saved when running realistic workloads on different classes of systems. This paper compares the effects of using dynamic voltage and frequency scaling (DVFS) and sleep states on platforms using server, desktop and embedded processors. It also analyses workloads that represent real-world uses of those systems. In these circumstances, we find that usage of power-management mechanisms is not clear-cut, and that it is critical to analyse the system as a whole, including the workload, to determine whether using mechanisms such as DVFS will be effective at reducing energy consumption.