Method And System For Generating A Power Consumption Model Of At Least One Server

• US 20100318828A1
• Filed: 06/11/2009
• Published: 12/16/2010
• Est. Priority Date: 06/11/2009
• Status: Active Grant

• Current Assignee: Sun Microsystems Incorporated (Oracle Corporation)
• Original Assignee: Sun Microsystems Incorporated (Oracle Corporation)
• Inventors: Elting, David Brian, Gross, Kenny C., Vaidyanathan, Kalyanaraman
• Granted Patent: US 9,495,272 B2
• Time in Patent Office: Days
• US Class Current: 713/340
• CPC Class Codes: G06F 11/3062 where the monitored property is the power consumption power management in a computing system G06F1/3203
• CPC Class Codes: G06F 11/3096 wherein the means or processing minimize the use of computing system or of computing system component resources, e.g. non-intrusive monitoring which minimizes the probe effect: sniffing, intercepting, indirectly deriving the monitored data from other directly available data

Abstract

A system for generating a power consumption model of at least one server includes one or more computers configured to obtain n time series telemetry signals indicative of operating parameters of the at least one server, obtain a time series power signal indicative of power consumed by the at least one server, and correlate each of the n time series telemetry signals with the time series power signal. The one or more computers are further configured to select a set of the n time series telemetry signals having an overall correlation with the time series power signal greater than a predetermined threshold, and generate a power consumption model of the at least one server based on at least the set of the n time series telemetry signals.

Claims

1. A method for generating a power consumption model of at least one server, the method comprising:

obtaining, at one or more computers, n temperature signals indicative of localized temperatures within the at least one server;

obtaining a power signal indicative of power consumed by the at least one server;

correlating each of the n temperature signals with the power signal;

selecting a set of the n temperature signals having an overall correlation with the power signal greater than a predetermined threshold; and

regressing at least the set of the n temperature signals with the power signal to generate a power consumption model of the at least one server.

2. The method of claim 1 further comprising obtaining an ambient temperature signal and subtracting the ambient temperature signal from each of the temperature signals of the set of the n temperature signals.

3. The method of claim 1 wherein correlating each of the n temperature signals with the power signal includes generating a correlation coefficient associated with each of the n temperature signals.

4. The method of claim 3 further comprising comparing the overall correlation coefficient of the n temperature signals with the predetermined threshold.

5. The method of claim 4 further comprising generating an overall correlation coefficient for all combinations of n-1 temperature signals if the overall correlation coefficient of the n temperature signals is less than the predetermined threshold.

6. The method of claim 5 further comprising comparing the overall correlation coefficients of all the combinations of n-1 temperature signals with the predetermined threshold.

7. A system for generating a power consumption model of at least one server, the system comprising:

one or more computers configured to (i) obtain n time series telemetry signals indicative of operating parameters of the at least one server, (ii) obtain a time series power signal indicative of power consumed by the at least one server, (iii) correlate each of the n time series telemetry signals with the time series power signal, (iv) select a set of the n time series telemetry signals having an overall correlation with the time series power signal greater than a predetermined threshold, and (v) generate a power consumption model of the at least one server based on at least the set of the n time series telemetry signals.

8. The system of claim 7 wherein the n time series telemetry signals are time series temperature signals indicative of localized temperatures within the at least one server.

9. The system of claim 8 wherein the one or more computers are further configured to obtain an ambient time series temperature signal and subtract the ambient time series temperature signal from each of the time series temperature signals of the set of n time series temperature signals.

10. The system of claim 7 wherein correlating each of the n time series telemetry signals with the time series power signal includes generating a correlation coefficient associated with each of the n time series telemetry signals.

11. The system of claim 10 wherein the one or more computers are further configured to compare the overall correlation coefficient of the n time series telemetry signals with the predetermined threshold.

12. The system of claim 11 wherein the one or more computers are further configured to generate an overall correlation coefficient for all combinations of n-1 time series telemetry signals if the overall correlation coefficient of the n time series telemetry signals is less than the predetermined threshold.

13. The system of claim 12 wherein the one or more computers are further configured to compare the overall correlation coefficients of all the combinations of n-1 time series telemetry signals with the predetermined threshold.

14. A computer readable storage medium having information stored thereon for directing one or more computers to (i) obtain n time series telemetry signals indicative of operating parameters of the at least one server, (ii) obtain a time series power signal indicative of power consumed by the at least one server, (iii) correlate each of the n time series telemetry signals with the time series power signal, (iv) select a set of the n time series telemetry signals having an overall correlation with the time series power signal greater than a predetermined threshold, and (v) generate a power consumption model of the at least one server based on at least the set of the n time series telemetry signals.

15. The storage medium of claim 14 wherein correlating each of the n time series telemetry signals with the time series power signal includes generating a correlation coefficient associated with each of the n time series telemetry signals.

16. The storage medium of claim 15 having information stored thereon for further directing the one or more computers to compare the overall correlation coefficient of the n time series telemetry signals with the predetermined threshold.

17. The storage medium of claim 16 having information stored thereon for further directing the one or more computers to generate an overall correlation coefficient for all combinations of n-1 time series telemetry signals if the overall correlation coefficient of the n time series telemetry signals is less than the predetermined threshold.

18. The storage medium of claim 17 having information stored thereon for further directing the one or more computers to compare the overall correlation coefficients of all the combinations of n-1 time series telemetry signals with the predetermined threshold.