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Published byNadia Rucker Modified over 2 years ago

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Measuring and analyzing the energy use of enterprise computing systems Xiuming Zhang

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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 One power meter per device

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Appliance Types Measured

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Extrapolating to the Whole Building

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Power Share by Type 4 types: PC, LCD, server, switch

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PC Binned into 3 categories – Laptops – Low-end – High-end 742 in total – 456: description available. The other: assume same distribution.

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LCD

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Lower brightness & use dark backgrounds

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Server Monitors 32 of the 500 servers Calculated average power: 233 W Estimated total power of 500 servers: 117 kW

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Switch

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PC CPU Utilization 95% of the computers have a utilization rate lower than 30%

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Popular Workloads

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Network Switch Utilization The demand never exceeded 200 Mbps

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Network Switch Utilization Highly underutilized Total network demand < 1000 Mbps 100% of the time.

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Discussions

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How does the sampling frequency affect what the data reveal? Too small hide the anomalies

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How big is the variance between two instances of same model?

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Does sampling a few devices provide an accurate average measurement? shows the wide distribution of desktop power

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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

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Do short-term measurements accurately reflect long-term power draw? One-month scale yields an acceptable error

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Are Energy Star data representative? Energy Star Standard does not consider PCs under load

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Thanks for the attention!

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