Method and system for profile learning window optimization

A method for optimizing performance of an information handling system comprising:

• sampling, via a processor, hardware component testing performance measurements of a hardware component of the information handling system over a preset test monitoring duration and partitioning the hardware component testing performance measurements within the preset test monitoring duration into one or more learning windows having a frequency and a window duration preset according to each of a plurality of candidate learning window parameter configurations;
• applying a statistical model to the sampled hardware component testing performance measurements for each of the plurality of candidate learning window parameter configurations to yield modeled system settings;
• determining an accuracy associated with each candidate learning window parameter configuration by determining accuracy of each modeled system setting compared with a known optimal system setting;
• and
• identifying a most accurate window learning parameter configuration as the optimal window learning parameter configuration for use in sampling hardware component field performance measurements describing performance of a hardware component of the information handling system during field usage to determine field optimized system settings according to the statistical model using limited computing resources.

An information handling system operating a performance optimization system comprising:

• a data bus coupled to a processor and a non-transitory, computer-readable storage medium;
• and
• the processor executing computer program code instructions that interact with a plurality of computer operations and that is configured for:
• inputting an application workload into a predetermined statistical model to output a predicted optimized hardware configuration for the information handling system;
• iteratively sampling hardware component field performance data describing performance of a hardware component of the information handling system during one or more learning windows, the learning windows having a preset duration and occurring at a preset frequency according to optimal learning window parameters to decrease computing resources consumed during determination of the predicted optimized hardware configuration by the predetermined statistical model, wherein the optimal learning window parameters are determined based on accuracy of previous application of the predetermined statistical model to previous hardware component test performance data as previously sampled during testing;
• characterizing workloads in operation at runtime based on application of the predetermined statistical model to the iteratively sampled field performance data;
• identifying a hardware component configuration to be changed to obtain optimal performance of the hardware component based upon the characterizing of workloads;
• applying the hardware component configuration to be changed to obtain optimal performance of the hardware component.