Running average power level assignment in an information handling system

Patent metadata

Field	Value
Publication number	US-12591284-B2
Application number	US-202318500022-A
Country	US
Kind code	B2
Filing date	Nov 1, 2023
Priority date	Nov 1, 2023
Publication date	Mar 31, 2026
Grant date	Mar 31, 2026

Abstract

An information handling system stores a knob table, and determines time series data for one or more applications being executed. The information handling system extracts features associated with the system, and determines a system type for the information handling system. The system determines a running average power level based on the time series data, the extracted features, and the system type. Based on the determined running average power level, the information handling system determines a configuration knob to optimize the system. The configuration knob is determined from the knob table in the memory.

First claim

What is claimed is:

1 . An information handling system comprising:
a memory to store a knob table, wherein the knob table includes information associated with different configuration knobs in the knob table, the information includes different responsiveness scores and memory utilizations for the different configuration knobs, wherein the configuration knobs are software control mechanisms associated with an application that are utilized to tune or adjust a configuration setting of the application; and a processor to communicate with the memory, wherein during a runtime of the information handling system, the processor to:
determine time series data for one or more applications being executed;
extract features associated with the information handling system;
determine a system type for the information handling system;
determine a running average power level based on the time series data, the extracted features, and the system type; and
determine a configuration knob to optimize the information handling system based on the determined running average power level, wherein the configuration knob is determined from the knob table in the memory.

2 . The information handling system of claim 1 , wherein the determination of the configuration knob includes the processor further to:
determine an application to be optimized in the information handling system; and determine a user selected knob priority, wherein the determination of the configuration knob is further determined based on the application to the optimized and the user selected knob priority.

3 . The information handling system of claim 2 , wherein the determination of the configuration knob is further based on a utilization of the application to be optimized.

4 . The information handling system of claim 3 , wherein the utilization of the application includes data associated with system resource allocations exclusive to the application.

5 . The information handling system of claim 1 , wherein prior to the runtime, the processor further to: execute a clustering model to group information handling systems into several different system types based on features associated with the information handling systems.

6 . The information handling system of claim 5 , wherein for each system type of the several different system types and prior to the runtime, the processor further to:
execute second clustering model to generate a plurality of running average power level clusters; and assign a high level, a medium level, or a low level to each of the running average power levels.

7 . The information handling system of claim 1 , wherein the determination of the running average power level includes the processor further to: assign the information handling system to a running average power level cluster.

8 . The information handling system of claim 1 , wherein time series data includes physical parameters of the information handling system, types of the applications, utilization of the applications, and application concurrency data.

9 . A method comprising:
during a runtime of an information handling system:
determining, by a processor of the information handling system, time series data for one or more applications being executed;
extracting features associated with the information handling system;
determining a system type for the information handling system;
determining a running average power level based on the time series data, the extracted features, and the system type; and
determining, by the processor, a configuration knob to optimize the information handling system based on the determined running average power level, wherein the configuration knob is determined from the knob table in the memory, wherein the knob table includes information associated with different configuration knobs in the knob table, the information includes different responsiveness scores and memory utilizations for the different configuration knobs, wherein the configuration knobs are software control mechanisms associated with an application that are utilized to tune or adjust a configuration setting of the application.

10 . The method of claim 9 , wherein the determining of the configuration knob includes the method further comprising:
determining an application to be optimized in the information handling system; and determining a user selected knob priority, wherein the determination of the configuration knob is further determined based on the application to the optimized and the user selected knob priority.

11 . The method of claim 10 , wherein the determining of the configuration knob is further based on a utilization of the application to be optimized.

12 . The method of claim 11 , wherein the utilization of the application includes data associated with system resource allocations exclusive to the application.

13 . The method of claim 12 , wherein prior to the runtime, the method further comprising: execute a clustering model to group information handling systems into several different system types based on features associated with the information handling systems.

14 . The method of claim 13 , wherein for each system type of the several different system types and prior to the runtime, the method further comprising:
executing second clustering model to generate a plurality of running average power level clusters; and assigning a high level, a medium level, or a low level to each of the running average power levels.

15 . The method of claim 9 , wherein the determination of the running average power level includes the processor further to: assigning the information handling system to a running average power level cluster.

16 . The method of claim 9 , wherein time series data includes physical parameters of the information handling system, types of the applications, utilization of the applications, and application concurrency data.

17 . An information handling system comprising:
a memory to store a knob table; and a processor to:
execute a first clustering model to generate a plurality of running average power level clusters;
assign a high level, a medium level, or a low level to each of the running average power levels;
during a runtime of the information handling system, the processor to:
determine time series data for one or more applications being executed;
extract features associated with the information handling system;
determine a system type for the information handling system;
determine a running average power level based on the time series data, the extracted features, and the system type;
assign the information handling system to a running average power level cluster; and
determine a configuration knob to optimize the information handling system based on the determined running average power level, wherein the configuration knob is determined from the knob table in the memory, wherein the knob table includes information associated with different configuration knobs in the knob table, the information includes different responsiveness scores and memory utilizations for the different configuration knobs, wherein the configuration knobs are software control mechanisms associated with an application that are utilized to tune or adjust a configuration setting of the application.

18 . The information handling system of claim 17 , wherein the determination of the configuration knob includes the processor further to:
determine an application to be optimized in the information handling system; and determine a user selected knob priority, wherein the determinati

Assignees

• Dell Products Lp

Inventors

• Khosrowpour Farzad
• Ning Yan

Classifications

• G06F1/26 Primary

  Power supply means, e.g. regulation thereof (for memories G11C) · CPC title