Voltage scheduling in the IpARM microprocessor system
ISLPED '00 Proceedings of the 2000 international symposium on Low power electronics and design
Automatic performance setting for dynamic voltage scaling
Proceedings of the 7th annual international conference on Mobile computing and networking
Time Series Analysis: Forecasting and Control
Time Series Analysis: Forecasting and Control
DRPM: dynamic speed control for power management in server class disks
Proceedings of the 30th annual international symposium on Computer architecture
Energy-efficient soft real-time CPU scheduling for mobile multimedia systems
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Vertigo: automatic performance-setting for Linux
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Operating System Modifications for Task-Based Speed and Voltage
Proceedings of the 1st international conference on Mobile systems, applications and services
Practical voltage scaling for mobile multimedia devices
Proceedings of the 12th annual ACM international conference on Multimedia
eSENSE: energy efficient stochastic sensing framework scheme for wireless sensor platforms
Proceedings of the 5th international conference on Information processing in sensor networks
A Novel Penalty Controllable Dynamic Voltage Scaling Scheme for Mobile Multimedia Applications
IEEE Transactions on Mobile Computing
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In this paper, we present a time series-based approach for managing power in mobile processors and disks that see multimedia workloads. Since multimedia applications impose soft real-time constraints, a key goal of our approach is to reduce energy consumption of multimedia applications without degrading performance. We present simple statistical techniques based on time series to dynamically compute the processor and I/O demands of multimedia applications and present techniques to dynamically vary the voltage settings and rotational speeds of mobile processors and disks, respectively. We implement our approaches in the Linux kernel running on a Sony Transmeta laptop and in a trace-driven simulator. Our experiments show that, compared to the traditional system-wide CPU voltage scaling approaches, our technique can achieve up to a 38.6% energy saving while delivering good performance to applications. Simulation results for our disk power management technique show a 20.3% reduction in energy consumption without any significant performance loss when compared to a traditional disk power management scheme.