Every joule is precious: the case for revisiting operating system design for energy efficiency
EW 9 Proceedings of the 9th workshop on ACM SIGOPS European workshop: beyond the PC: new challenges for the operating system
The benefits of event: driven energy accounting in power-sensitive systems
EW 9 Proceedings of the 9th workshop on ACM SIGOPS European workshop: beyond the PC: new challenges for the operating system
Increasing appliance autonomy using energy-aware scheduling of Java multimedia applications
EW 9 Proceedings of the 9th workshop on ACM SIGOPS European workshop: beyond the PC: new challenges for the operating system
A survey of design techniques for system-level dynamic power management
Readings in hardware/software co-design
Dynamic Power Management for Nonstationary Service Requests
IEEE Transactions on Computers
Remote power control of wireless network interfaces
Journal of Embedded Computing - Low-power Embedded Systems
Swarm intelligence-inspired energy conservation scheme in ad hoc networks
Mobility '06 Proceedings of the 3rd international conference on Mobile technology, applications & systems
A genetic algorithm for energy efficient device scheduling in real-time systems
GECCO'03 Proceedings of the 2003 international conference on Genetic and evolutionary computation: PartII
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Limiting the energy consumption of computers, especially portables, is becoming increasingly important. Thus, new energy-saving computer components and architectures have been and continue to be developed. Many architectural features have both high performance and low power modes, with the mode selection under software control. The problem is to minimize energy consumption while not significantly impacting the effective performance. We group the software control issues as follows: transition, load-change, and adaptation. The transition problem is deciding when to switch to low-power, reduced-functionality modes. The load-change problem is determining how to modify the load on a component so that it can make further use of its low-power modes. The adaptation problem is how to create software that allows components to be used in novel, power-saving ways. We survey implemented and proposed solutions to software energy management issues created by existing and suggested hardware innovations.