Managing power consumption based on utilization statistics

• US 6,996,728 B2
• Filed: 04/26/2002
• Issued: 02/07/2006
• Est. Priority Date: 04/26/2002
• Status: Expired due to Term

• Current Assignee: Hewlett Packard Enterprise Development LP (Hewlett-Packard Enterprise Company)
• Original Assignee: Hewlett-Packard Development Company, L.P. (HP Inc.)
• Inventors: Singh, Jitendra K.
• Primary Examiner(s): Browne, Lynne H.
• Assistant Examiner(s): Patel, Nitin C.
• Application Number:
  US10/133,730
• Publication Number:
  US 20030204759A1
• Time in Patent Office: 1,383 Days
• Field of Search: 713/300, 713/320, 713/322, 713/323, 713/324, 713/340, 700/93, 702/181, 704/240, 718/105
• US Class Current: 713/300
• CPC Class Codes: G06F 1/3203 Power management, i.e. event-based initiation of a power-saving mode
• CPC Class Codes: G06F 1/3287 by switching off individual functional units in the computer system
• CPC Class Codes: G06F 1/329 by task scheduling
• CPC Class Codes: Y02D 10/00 Energy efficient computing, e.g. low power processors, power management or thermal management

Abstract

The present invention, in various embodiments, provides techniques for managing system power. In one embodiment, system compute loads and/or system resources invoked by services running on the system consume power. To better manage power consumption, the spare capacity of a system resource is periodically measured, and if this spare capacity is outside a predefined range, then the resource operation is adjusted, e.g., the CPU speed is increased or decreased, so that the spare capacity is within the range. Further, the spare capacity is kept as close to zero as practical, and this spare capacity is determined based on the statistical distribution of a number of utilization values of the resources, which is also taken periodically. The spare capacity is also calculated based on considerations of the probability that the system resources are saturated. In one embodiment, to maintain the services required by a Service Level Agreement (SLA), a correlation between an SLA parameter and a resource utilization is determined. In addition to other factors and the correlation of the parameters, the spare capacity of the resource utilization is adjusted based on the spare capacity of the SLA parameter. Various embodiments include optimizing system performance before calculating system spare capacity, saving power for system groups or clusters, saving power for special conditions such as brown-out, high temperature, etc.

Claims

1. A method for managing power of a system, comprising the steps of:

identifying a resource consuming power of the system;

periodically determining spare capacity of the resource including selecting a parameter based on probability for the resource to reach a predetermined level of utilization; and

if the spare capacity is outside a predefined range, then adjusting operation of the system that affects power consumed by the system in order to adjust the spare capacity to within the predefined range;

wherein the spare capacity is determined based on a statistical distribution of a number of utilization values of the resource;

the number of utilization values being obtained periodically.

2. The method of claim 1 wherein the probability is agreed between a user using the system to provide a system service and a client requesting the service from the system;

the service affecting the power consumed by the resource.

3. The method of claim 1 wherein the spare capacity is identified as aparameters calculated based on the equation s=(100−

({overscore (x)}+m*σ

));

{overscore (x)} being the mean of the number of utilization values;

σ

being the standard deviation of the number of utilization values, and m being the parameter chosen based on the acceptable probability for the resource to reach the predetermined level of utilization.

4. The method of claim 1 wherein the statistical distribution is selected as the Gaussian distribution.

5. The method of claim 1 further comprising the step of periodically optimizing performance of the system.

6. The method of claim 1 being for use in meeting a requirement agreed between a user using the system to provide a system service and a client requesting the service from the system;

the service affecting the power consumed by the system.

7. The method of claim 1 further comprising the step of turning off a program application running on the system upon meeting a condition that affects the power consumed by the system.

8. The method of claim 1 further comprising the step of consolidating program applications based on the spare capacity of the resource.

9. The method of claim 8 wherein

the step of consolidating comprising one or a combination of turning off a first application running on the system or on a second system, moving the first application to the second system,

a second application being run on the second system or on a third system, and

the system, the second system, and the third system are connected via a computer network.

10. The method of claim 1 wherein the system provides computer services to users via a computer network.

11. The method of claim 1 wherein

if the resource is a processor, then adjusting operation of the system includes one or a combination of adjusting a clock frequency at which the processor is running, adjusting a duty cycle of a clock from which the processor is running, adjusting a number of processors running in the system;

if the resource is a RAM then adjusting operation of the system includes putting the RAM in a selected mode; and

if the resource is a disk drive, then adjusting operation of the system includes spinning down the disk drive.

12. A method for managing power of a system, comprising the steps of:

periodically acquiring utilization values of a resource;

calculating the mean and the standard deviation of the utilization values;

acquiring a parameter reflecting a probability that the resource will reach a predetermined level of utilization;

based on the mean, the standard deviation, and the parameter, acquiring spare capacity of the resource; and

if the spare capacity is outside a predefined range, then adjusting operation of the system that affects power consumed by the resource in order to adjust the spare capacity to within the predefined range.

13. The method of claim 12 wherein {overscore (x)} represents the mean, σ

represents the standard deviation, m represents the parameter, s represents the spare capacity, and the step of acquiring the spare capacity uses the equation s=(100−

({overscore (x)}+m*σ

)).

14. The method of claim 12 wherein the step of adjusting operation of the system comprising one or a combination of adjusting the speed of the resource, turning on or off part of the resource, turning off a program application running on the system, moving the application to another system, and optimizing performance of the system.

15. A computer-readable medium embodying instructions for

managing power of a system, the instructions performing the steps of:

identifying a resource consuming power of the system;

periodically determining spare capacity of the resource including selecting a parameter based on probability for the resource to reach a predetermined level of utilization; and

if the spare capacity is outside a predefined range, then adjusting operation of the system that affects power consumed by the system in order to adjust the spare capacity to within the predefined range;

wherein the spare capacity is determined based on a statistical distribution of a number of utilization values of the resource;

the number of utilization values being obtained periodically.

16. The computer-readable medium of claim 15 wherein the probability is agreed between a user using the system to provide a system service and a client requesting the service from the system;

the service affecting the power consumed by the resource.

17. The computer-readable medium of claim 15 wherein the spare capacity is identified as a parameter s calculated based on the equation s=(100−

({overscore (x)}+m*σ

));

{overscore (x)} being the mean of the number of utilization values;

σ

being the standard deviation of the number of utilization values, and m being the parameter chosen based on the acceptable probability for the resource to reach the predetermined level of utilization.

18. The computer-readable medium of claim 15 wherein the statistical distribution is selected as the Gaussian distribution.

19. The computer-readable medium of claim 15 further comprising instructions for periodically optimizing performance of the system.

20. The computer-readable medium of claim 15 being for use in meeting a requirement agreed between a user using the system to provide a system service and a client requesting the service from the system;

the service affecting the power consumed by the system.

21. The computer-readable medium of claim 15 further comprising instructions for turning off a program application running on the system upon meeting a condition that affects the power consumed by the system.

22. The computer-readable medium of claim 15 further comprising instructions for consolidating program applications based on the spare capacity of the resource.

23. The computer-readable medium of claim 22 wherein

the step of consolidating comprising one or a combination of turning off a first application running on the system or on a second system, moving the first application to the second system,

a second application being run on the second system or on a third system, and

the system, the second system, and the third system are connected via a computer network.

24. The computer-readable medium of claim 15 wherein the system provides computer services to users via a computer network.

25. A computer-readable medium embodying instructions for

managing power of a system, the instructions performing the steps of:

periodically acquiring utilization values of a resource;

calculating the mean and the standard deviation of the utilization values;

acquiring a parameter reflecting a probability that the resource will reach a predetermined level of utilization;

based on the mean, the standard deviation, and the parameter, acquiring spare capacity of the resource; and

if the spare capacity is outside a predefined range, then adjusting operation of the system that affects power consumed by the system to adjust the spare capacity to within the predefined range.

26. The computer-readable medium of claim 25 wherein {overscore (x)} represents the mean, σ

represents the standard deviation, m represents the parameter, s represents the spare capacity, and the step of acquiring the spare capacity uses the equation s=(100−

({overscore (x)}+m*σ

)).

27. The computer-readable medium of claim 25 wherein the step of adjusting operation of the system comprising one or a combination of adjusting the speed of the resource, turning on or off part of the resource, turning off a program application running on the system, moving the application to another system, and optimizing performance of the system.

28. A system comprising:

means for periodically acquiring utilization values of a resource;

means for calculating the mean and the standard deviation of the utilization values;

means for acquiring a parameterreflecting a probability that the resource will reach a predetermined level of utilization;

means for acquiring spare capacity of the resource based on the mean, the standard deviation, and

means for adjusting operation of the system so that if the spare capacity is outside a predetermined range then adjust operation of the system that affects power consumed by the system in order to adjust the spare capacity to within the predetermined range.

29. The system of claim 28 further comprising means for consolidating program applications;

the means for consolidating uses the spare capacity as an input.

30. The system of claim 28 wherein

the system is identified as a first system, and

a program application runs on the first system or on a second system that is connected to the first system via a network.

31. The system of claim 28 wherein

if the resource is a processor, then adjusting operation of the system includes one or a combination of adjusting a clock frequency at which the processor is running, adjusting a duty cycle of a clock from which the processor is running, adjusting a number of processors running in the system;

if the resource is a RAM then adjusting operation of the system includes putting the RAM in a selected mode; and

if the resource is a disk drive, then adjusting operation of the system includes spinning down the disk drive.