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Measuring and analyzing the energy use of enterprise computing systems. Xiuming Zhang. System Deployment. Powernet : a hybrid sensor network that monitors the power and utilization of the IT systems in a large academic building Over more than two years 250+individual computing devices
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Measuring and analyzing the energy use of enterprise computing systems Xiuming Zhang
SystemDeployment • Powernet:a hybrid sensor network that monitors the power and utilization of the IT systems in a large academic building • Over more than two years • 250+individual computing devices • Onepowermeterperdevice
Power Share by Type • 4 types: PC, LCD, server, switch
PC • Binned into 3 categories • Laptops • Low-end • High-end • 742 in total • 456: description available. The other: assume same distribution.
LCD • Lower brightness & use dark backgrounds
Server • Monitors 32 of the 500 servers • Calculated average power: 233 W • Estimated total power of 500 servers: 117 kW
PCCPU Utilization • 95%ofthecomputershaveautilizationratelowerthan30%
NetworkSwitchUtilization • The demand never exceeded 200 Mbps
NetworkSwitchUtilization • Highly underutilized • Total network demand <1000 Mbps 100% of the time.
How does the sampling frequency affect what the data reveal? • Too small hide the anomalies
How big is the variance between two instances of same model?
Does sampling a few devices provide an accurate average measurement? shows the wide distribution of desktop power
Does sampling a few devices provide an accurate average measurement? • Large sample size desired for PC • 1,000,000 random samples of size 5, 10, and 20, drawing from 69 machines
Do short-term measurements accurately reflect long-term power draw? • One-month scale yields an acceptable error
Are Energy Star data representative? • Energy Star Standard does not consider PCs under load