Comparing algorithm for dynamic speed-setting of a low-power CPU
MobiCom '95 Proceedings of the 1st annual international conference on Mobile computing and networking
The simulation and evaluation of dynamic voltage scaling algorithms
ISLPED '98 Proceedings of the 1998 international symposium on Low power electronics and design
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
The case for power management in web servers
Power aware computing
On evaluating request-distribution schemes for saving energy in server clusters
ISPASS '03 Proceedings of the 2003 IEEE International Symposium on Performance Analysis of Systems and Software
Policies for dynamic clock scheduling
OSDI'00 Proceedings of the 4th conference on Symposium on Operating System Design & Implementation - Volume 4
Scheduling for reduced CPU energy
OSDI '94 Proceedings of the 1st USENIX conference on Operating Systems Design and Implementation
Energy-efficient server clusters
PACS'02 Proceedings of the 2nd international conference on Power-aware computer systems
Scheduling for heterogeneous processors in server systems
Proceedings of the 2nd conference on Computing frontiers
| Hi-index | 0.00 |
Power and cooling considerations have moved to the forefront of modern system design. The restrictions placed upon systems by power and cooling requirements have focused much research on a variety of techniques to reduce maximum power and leakage. Simultaneously, efforts are being made to adapt microarchitectural features to the current needs of an application. We focus instead on adapting large scale resources to the current needs of a server farm. We study the efficacy of powering on and off CPUs in symmetric multiprocessors (SMP). We develop a number of different predictive and reactive techniques for identifying when cores should have their state altered. We present results for these policies and find a hybrid policy presents a reasonable balance between the time necessary to predict future needs and the accuracy of these predictions. It maintains 97% of the original system performance while reducing the energy per web interaction by 25%.