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

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Presentation on theme: "Measuring and analyzing the energy use of enterprise computing systems Xiuming Zhang."— Presentation transcript:

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

2 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

3 Appliance Types Measured

4 Extrapolating to the Whole Building

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 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

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

13 Popular Workloads

14 Network Switch Utilization The demand never exceeded 200 Mbps

15 Network Switch Utilization 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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