Comparing Program Phase Detection Techniques
Proceedings of the 36th annual IEEE/ACM International Symposium on Microarchitecture
Power and Energy Profiling of Scientific Applications on Distributed Systems
IPDPS '05 Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05) - Papers - Volume 01
Managing server energy and operational costs in hosting centers
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Runtime identification of microprocessor energy saving opportunities
ISLPED '05 Proceedings of the 2005 international symposium on Low power electronics and design
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
Structures for phase classification
ISPASS '04 Proceedings of the 2004 IEEE International Symposium on Performance Analysis of Systems and Software
Power consumption breakdown on a modern laptop
PACS'04 Proceedings of the 4th international conference on Power-Aware Computer Systems
Analysis of dynamic power management on multi-core processors
Proceedings of the 22nd annual international conference on Supercomputing
| Hi-index | 0.00 |
Many techniques have been developed for adaptive power management of computing systems. These techniques rely on the presence of varying power phases to detect opportunities for adaptation. However, little information is available regarding the extent of power phases in real systems. This paper illustrates available power phases ranging from 1 millisecond to 1 second using a commercial workload running on enterprise class hardware. Data is obtained using a server instrumented for power measurement at the subsystem level. The analysis shows that chipset, memory and disk subsystems have the most homogenous phase behavior with greater than 71% of samples within phases of 100 milliseconds or shorter. In contrast, CPU and I/O subsystems have much more variation with only 26% of samples within phases of 10 milliseconds or shorter.