PowerScope: A Tool for Profiling the Energy Usage of Mobile Applications
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Xen and the art of virtualization
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Data partitioning for maximal scratchpad usage
ASP-DAC '03 Proceedings of the 2003 Asia and South Pacific Design Automation Conference
Koala: a platform for OS-level power management
Proceedings of the 4th ACM European conference on Computer systems
Virtual machine power metering and provisioning
Proceedings of the 1st ACM symposium on Cloud computing
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Energy consumption of IT increased continously during the last decades. Numerous works have been accomplished for improving energy efficiency of hardware whereas software energy efficiency has been ignoried for a long time. This contribution presents a novel approach for estimating energy consumption of applications in different execution environments. The system is the basis for automatic optimization of software execution in an energy-efficient way by finding the best-suiting host computer. Thus, it opens novel ways to further improve energy-efficiency of IT systems. Exemplary, the approach is tested in a virtualized data center environment, where virtual machines are the applications. The presented approach is a vehicle for automatically finding the most energy-efficient host machine for any virtual machine system. The paper presents a new algorithm for estimating virtual machine power consumption and shows the accuracy of the presented approach by means of measurements.