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
Run-time modeling and estimation of operating system power consumption
SIGMETRICS '03 Proceedings of the 2003 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
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
Power provisioning for a warehouse-sized computer
Proceedings of the 34th annual international symposium on Computer architecture
Live migration of virtual machines
NSDI'05 Proceedings of the 2nd conference on Symposium on Networked Systems Design & Implementation - Volume 2
Gauss mixture vector quantization
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 03
PowerNap: eliminating server idle power
Proceedings of the 14th international conference on Architectural support for programming languages and operating systems
Minimizing data center cooling and server power costs
Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design
vGreen: a system for energy efficient computing in virtualized environments
Proceedings of the 14th ACM/IEEE international symposium on Low power electronics and design
Delivering energy proportionality with non energy-proportional systems: optimizing the ensemble
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
A comparison of high-level full-system power models
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
Run-time energy consumption estimation based on workload in server systems
HotPower'08 Proceedings of the 2008 conference on Power aware computing and systems
vGreen: A System for Energy-Efficient Management of Virtual Machines
ACM Transactions on Design Automation of Electronic Systems (TODAES)
Energy efficient scheduling for multithreaded programs on general-purpose processors
Proceedings of the 17th IEEE/ACM international symposium on Low-power electronics and design
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In this paper we present a system for online power prediction in virtualized environments. It is based on Gaussian mixture models that use architectural metrics of the physical and virtual machines (VM) collected dynamically by our system to predict both the physical machine and per VM level power consumption. A real implementation of our system shows that it can achieve average prediction error of less than 10%, outperforming state of the art regression based approaches at negligible runtime overhead.