초록 ▼

One embodiment of the present invention provides a system that estimates a power utilization of a computer system. During operation, a set of performance parameters of the computer system is monitored, wherein the computer system includes a processor. Then the power utilization of the computer syste

One embodiment of the present invention provides a system that estimates a power utilization of a computer system. During operation, a set of performance parameters of the computer system is monitored, wherein the computer system includes a processor. Then the power utilization of the computer system is estimated based on the set of performance parameters and a power-utilization model, wherein the power-utilization model was trained by measuring a power utilization of the computer system while the processor is operating at a first frequency and measuring a power utilization of the computer system while the processor is operating at a second frequency.

대표청구항 ▼

What is claimed is: 1. A method for estimating a power utilization of a computer system, comprising: monitoring a set of performance parameters of the computer system, wherein the computer system includes a processor; using a model training mechanism to generate a power-utilization model; training

What is claimed is: 1. A method for estimating a power utilization of a computer system, comprising: monitoring a set of performance parameters of the computer system, wherein the computer system includes a processor; using a model training mechanism to generate a power-utilization model; training the power-utilization model by: while a processor in a computer system is operating at a first frequency, measuring a power utilization of the computer system while cycling a load on the processor from a first minimum load to a first maximum load; while the processor is operating at a second frequency, measuring a power utilization of the computer system while cycling a load on the processor from a second minimum load to a second maximum load; and generating the power-utilization model using at least one of a nonlinear, nonparametric regression technique or a pattern-recognition technique; and estimating the power utilization of the computer system based on the set of performance parameters and the power-utilization model. 2. The method of claim 1, wherein monitoring the set of performance parameters of the computer system includes systematically monitoring and recording a set of performance parameters of the computer system; and wherein the recording process keeps track of the temporal relationships between events in different performance parameters. 3. The method of claim 1, wherein the first frequency is a minimum frequency of operation of the processor and the second frequency is a maximum frequency of operation of the processor. 4. The method of claim 1, wherein estimating the power utilization of the computer system based on the set of performance parameters and the power-utilization model includes using a pattern-recognition technique. 5. The method of claim 1, wherein estimating the power utilization of the computer system based on the set of performance parameters and the power-utilization model includes using a nonlinear, nonparametric regression technique. 6. The method of claim 5, wherein estimating the power utilization of the computer system based on the set of performance parameters and the power-utilization model includes using a multivariate state estimation technique. 7. The method of claim 1, wherein estimating the power utilization of the computer system based on the set of performance parameters and the power-utilization model includes processing the set of performance parameters using an analytical re-sampling technique. 8. The method of claim 1, wherein the computer system includes a dynamic power-management feature. 9. The method of claim 8, wherein the dynamic power-management feature includes a feature controlling an operating voltage of the processor. 10. The method of claim 8, wherein the dynamic power-management feature includes a feature controlling an operating frequency of the processor. 11. The method of claim 1, wherein training the power-utilization model includes using a multivariate state estimation technique. 12. A non-transitory computer-readable storage medium storing instructions that when executed by a computer cause the computer to perform a method for estimating a power utilization of a computer system, the method comprising: monitoring a set of performance parameters of the computer system, wherein the computer system includes a processor; training the power-utilization model by: while a processor in a computer system is operating at a first frequency, measuring a power utilization of the computer system while cycling a load on the processor from a first minimum load to a first maximum load; and while the processor is operating at a second frequency, measuring a power utilization of the computer system while cycling a load on the processor from a second minimum load to a second maximum load; and generating the power-utilization model using at least one of a nonlinear, nonparametric regression technique or a pattern-recognition technique; and estimating the power utilization of the computer system based on the set of performance parameters and the power-utilization model. 13. The computer-readable storage medium of claim 12, wherein monitoring the set of performance parameters of the computer system includes systematically monitoring and recording a set of performance parameters of the computer system; and wherein the recording process keeps track of the temporal relationships between events in different performance parameters. 14. The computer-readable storage medium of claim 12, wherein the first frequency is a minimum frequency of operation of the processor and the second frequency is a maximum frequency of operation of the processor. 15. The computer-readable storage medium of claim 12, wherein estimating the power utilization of the computer system based on the set of performance parameters and the power-utilization model includes using a pattern-recognition technique. 16. The computer-readable storage medium of claim 12, wherein estimating the power utilization of the computer system based on the set of performance parameters and the power-utilization model includes using a nonlinear, nonparametric regression technique. 17. The computer-readable storage medium of claim 16, wherein estimating the power utilization of the computer system based on the set of performance parameters and the power-utilization model includes using a multivariate state estimation technique. 18. The computer-readable storage medium of claim 12, wherein estimating the power utilization of the computer system based on the set of performance parameters and the power-utilization model includes processing the set of performance parameters using an analytical re-sampling technique. 19. The computer-readable storage medium of claim 12, wherein the computer system includes a dynamic power-management feature. 20. The computer-readable storage medium of claim 19, wherein the dynamic power-management feature includes a feature controlling an operating voltage of the processor. 21. The computer-readable storage medium of claim 19, wherein the dynamic power-management feature includes a feature controlling an operating frequency of the processor. 22. The computer-readable storage medium of claim 12, wherein training the power-utilization model includes using a multivariate state estimation technique. 23. An apparatus for estimating a power utilization of a computer system, comprising: a monitoring mechanism configured to monitor a set of performance parameters of the computer system, wherein the computer system includes a processor; a model-training mechanism configured to train a power-utilization model by: while a processor in a computer system is operating at a first frequency, measuring a power utilization of the computer system while cycling a load on the processor from a first minimum load to a first maximum load; while the processor is operating at a second frequency, measuring a power utilization of the computer system while cycling a load on the processor from a second minimum load to a second maximum load; and generating the power-utilization model using at least one of a nonlinear, nonparametric regression technique or a pattern-recognition technique; and an estimating mechanism configured to estimate the power utilization of the computer system based on the set of performance parameters and the power-utilization model. 24. The apparatus of claim 23, wherein the computer system includes a dynamic power-management feature.