Measuring and analyzing the energy use of enterprise computing systems Xiuming Zhang.
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Transcript of Measuring and analyzing the energy use of enterprise computing systems Xiuming Zhang.
![Page 1: Measuring and analyzing the energy use of enterprise computing systems Xiuming Zhang.](https://reader035.fdocuments.in/reader035/viewer/2022070307/551b39f8550346dd1a8b52e6/html5/thumbnails/1.jpg)
Measuring and analyzing the energy use of enterprise computing systems
Xiuming Zhang
![Page 2: Measuring and analyzing the energy use of enterprise computing systems Xiuming Zhang.](https://reader035.fdocuments.in/reader035/viewer/2022070307/551b39f8550346dd1a8b52e6/html5/thumbnails/2.jpg)
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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LCD
• 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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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!