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Power Consumption Analysis in Enterprise Computing Systems by Xiuming Zhang

This study examines energy use in enterprise computing systems through measuring and analyzing power consumption across device types. Data from a hybrid sensor network in an academic building is used to extrapolate power share by device type, including PCs, LCDs, servers, and switches. Various measurements, utilization rates, and workloads are discussed, highlighting the importance of sampling frequency and size for accurate data interpretation.

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Power Consumption Analysis in Enterprise Computing Systems by Xiuming Zhang

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

  2. 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

  3. Appliance TypesMeasured

  4. ExtrapolatingtotheWholeBuilding

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

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

  7. LCD

  8. LCD • Lower brightness & use dark backgrounds

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

  10. Switch

  11. Switch

  12. PCCPU Utilization • 95%ofthecomputershaveautilizationratelowerthan30%

  13. PopularWorkloads

  14. NetworkSwitchUtilization • The demand never exceeded 200 Mbps

  15. NetworkSwitchUtilization • Highly underutilized • Total network demand <1000 Mbps 100% of the time.

  16. Discussions

  17. How does the sampling frequency affect what the data reveal? • Too small  hide the anomalies

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

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

  20. 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

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

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

  23. Thanks for the attention!

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