OPTIMIZATION OF SYSTEM ACOUSTIC SIGNATURE AND COOLING CAPACITY WITH INTELLIGENT USER CONTROLS

• US 20130096720A1
• Filed: 10/17/2011
• Published: 04/18/2013
• Est. Priority Date: 10/17/2011
• Status: Active Grant

• Current Assignee: Lenovo International Limited (Lenovo Group Ltd.)
• Original Assignee: International Business Machines Corporation
• Inventors: Brey, Thomas M., Kamath, Vinod, Matteson, Jason A., Medlin, Billy W.
• Granted Patent: US 9,110,642 B2
• Time in Patent Office: Days
• US Class Current: 700/276
• CPC Class Codes: G06F 1/206 comprising thermal management
• CPC Class Codes: G06F 1/3206 Monitoring of events, devices or parameters that trigger a change in power modality
• CPC Class Codes: H05K 7/20209 Thermal management, e.g. fan control
• CPC Class Codes: H05K 7/20718 Forced ventilation of a gaseous coolant in closed loop H05K7/20754
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

A computer-implemented method comprises accessing historical operating data for a unit of information technology equipment, wherein the historical operating data includes power consumption, fan speed, inlet air temperature, workload, and any processor throttling events at various points in time. The method further comprises receiving user input selecting a fan speed, and using the historical operating data to determine a performance impact that is expected from operating the unit at the selected fan speed, where the power consumption is a proxy for performance. The estimated performance impact of the selected fan speed and one or more alternative fan speeds is then displayed.

Claims

1. A computer-implemented method, comprising:

accessing historical operating data for a unit of information technology equipment, wherein the historical operating data includes power consumption, fan speed, inlet air temperature, workload, and any processor throttling events at various points in time;

receiving user input selecting a fan speed ranging from a minimum fan speed to a maximum fan speed;

using the historical operating data to determine a performance impact that is expected from operating the unit at the selected fan speed, where the power consumption is a proxy for performance; and

displaying the estimated performance impact of the selected fan speed and one or more alternative fan speeds.

2. The method of claim 1, further comprising:

determining a correlation between power consumption and performance of the unit using the historical operating data; and

displaying a performance that is correlated with the power consumption.

3. The method of claim 1, further comprising:

determining a correlation between fan speed and sound levels using the historical operating data; and

displaying sound levels that are correlated with the displayed fan speeds.

4. The method of claim 1, further comprising:

determining that first and second units of information technology equipment have similar hardware and workload; and

using historical operating data associated with the first device to estimate a performance impact of implementing a selected fan speed on the second device.

5. The method of claim 1, further comprising:

displaying the performance impact as a graphical bar divided into performance zones, wherein the performances zones are aligned with the associated fan speeds.

6. The method of claim 5, wherein the performance zones include at least a first performance zone illustrating the range of fan speeds that historically do not impact performance, a second performance zone illustrating the range of fan speeds that historically impact performance yet are above the historical average of fan speed, and a third performance zone illustrating a range of fan speeds that have historically prevented one or more jobs from being completed.

7. The method of claim 1, wherein the unit of information technology equipment includes a computer server.

8. The method of claim 1, wherein the unit of information technology equipment is an application specific integrated circuit (ASIC) and the fan is dedicated to the ASIC, wherein an ASIC operating condition is used as a proxy for the speed of the fan, and wherein the ASIC operating condition is selected from the power consumption, temperature and performance of the ASIC.

9. The method of claim 8, further comprising:

determining a correlation between the fan speed and an ASIC operating condition using the historical operating data; and

displaying fan speeds that are correlated with the ASIC operating conditions.

10. The method of claim 1, further comprising:

displaying a historical median of the actual fan speed of the system; and

displaying a warning in response to detecting that the user has selected a selector state that will impose a fan speed that is less than the median fan speed.

11. The method of claim 1, further comprising:

displaying a second graphical bar divided into performance zones that are aligned vertically with the selector states associated with the performance zone, wherein the performance zones in the second horizontal bar are determined from the historical data associated with the highest measured inlet air temperature (option

     1).

12. The method of claim 1, further comprising:

displaying a second graphical bar divided into performance zones that are aligned vertically with the selector states associated with the performance zone, wherein the performance zones in the second horizontal bar are determined from the historical data associated with the highest inlet air temperature range that is supported.

13. The method of claim 1, further comprising:

determining one or more measure of variability in the inlet air temperature based upon the historical data; and

displaying the one or more measure of variability in the inlet air temperature.

14. The method of claim 13, wherein the one or more measure of variability in the inlet air temperature includes an inlet air temperature range and a median inlet air temperature

15. The method of claim 1, wherein the step of receiving user input selecting a fan speed ranging from a minimum fan speed to a maximum fan speed, includes:

receiving user input selecting one of a plurality of fan speed selector states ranging from a minimum fan speed to a maximum fan speed.

16. The method of claim 15, wherein the plurality of fan speed selector states are normalized values representing a plurality of fan speeds ranging from the minimum fan speed to the maximum fan speed.

17. The method of claim 15, further comprising:

receiving user input selecting a number of fan speed selector states; and

establishing the selected number of fan speed selector states distributed across the full range of fan speeds from a minimum fan speed to a maximum fan speed, wherein each of the fan speed selector states is associated with a different fan speed.

18. The method of claim 15, further comprising:

displaying the performance impact as a graphical bar divided into performance zones, wherein the performances zones are aligned with the fan speed selector states associated with the performance zone.

19. The method of claim 18, where in the performance zones include at least a first performance zone illustrating the range of fan speed selector states that historically do not impact performance, a second performance zone illustrating the range of fan speed selector states that historically impact performance yet are above the historical average of fan speed, and a third performance zone illustrating a range of fan speed selector states that have historically prevented one or more jobs from being completed.

20. The method of claim 15, further comprising:

determining a relationship between inlet air temperature and cooling capacity of the fans;

estimating a loss in performance that is likely to occur at the selected fan speed selector state if the inlet air temperature reaches the highest inlet air temperature in the historical operating data or the highest inlet air temperature supported by the unit.

21. The method of claim 20, further comprising:

displaying the cooling capacity as a function of inlet air temperature for each of the fan speed selector states.

22. The method of claim 21, wherein the cooling capacity as a function of inlet air temperature for each of the fan speed selector states is displayed as a table

23. A computer program product including computer usable program code embodied on a computer usable storage medium, the computer program product comprising:

computer usable program code for accessing historical operating data for a unit of information technology equipment, wherein the historical operating data includes power consumption, fan speed, inlet air temperature, workload, and any processor throttling events at various points in time.;

computer usable program code for receiving user input selecting a fan speed ranging from a minimum fan speed to a maximum fan speed;

computer usable program code for using the historical operating data to determine a performance impact that is expected from operating the unit at the selected fan speed, where the power consumption is a proxy for performance; and

computer usable program code for displaying the estimated performance impact of the selected fan speed and one or more alternative fan speeds.

24. The computer program product of claim 23, further comprising:

computer usable program code for displaying the performance impact as a graphical bar divided into performance zones, wherein the performances zones are aligned with the associated fan speeds.

25. The computer program product of claim 24, where in the performance zones include at least a first performance zone illustrating the range of fan speeds that historically do not impact performance, a second performance zone illustrating the range of fan speeds that historically impact performance yet are above the historical average of fan speed, and a third performance zone illustrating a range of fan speeds that have historically prevented one or more jobs from being completed.