Wattch: a framework for architectural-level power analysis and optimizations
Proceedings of the 27th annual international symposium on Computer architecture
Power prediction for intel XScale® processors using performance monitoring unit events
ISLPED '05 Proceedings of the 2005 international symposium on Low power electronics and design
Ensemble-level Power Management for Dense Blade Servers
Proceedings of the 33rd annual international symposium on Computer Architecture
Power provisioning for a warehouse-sized computer
Proceedings of the 34th annual international symposium on Computer architecture
ICAC '07 Proceedings of the Fourth International Conference on Autonomic Computing
Internet-scale service infrastructure efficiency
Proceedings of the 36th annual international symposium on Computer architecture
Switching Power Supply Design
Power routing: dynamic power provisioning in the data center
Proceedings of the fifteenth edition of ASPLOS on Architectural support for programming languages and operating systems
A comparison of high-level full-system power models
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
Does low-power design imply energy efficiency for data centers?
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
OptiPlace: Designing Cloud Management with Flexible Power Models through Constraint Programing
UCC '13 Proceedings of the 2013 IEEE/ACM 6th International Conference on Utility and Cloud Computing
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Accurately modeling server power consumption is critical in designing data center power provisioning infrastructure. However, to date, most research proposals have used average CPU utilization to infer the power consumption of clusters, typically averaging over tens of minutes per observation. We demonstrate that average CPU utilization is not sufficient to predict peak power consumption accurately. By characterizing the relationship between server utilization and power supply behavior, we can more accurately model the actual peak power consumption. Finally, we introduce a new operating system metric that can capture the needed information to design for peak power with low overhead.