Application profiling via loopback methods

A system comprising:

• a processor;
• a data bus coupled to the processor;
• and
• a non-transitory, computer-readable storage medium embodying computer program code, the non-transitory, computer-readable storage medium being coupled to the data bus, the computer program code interacting with a plurality of computer operations and comprising instructions executable by the processor and configured for:
• instrumenting a plurality of system parameters of a client information handling system for monitoring;
• instructing a user to execute a particular application on the client information handling system;
• obtaining a plurality of samples of the plurality of system parameters;
• performing a machine learning operation using the plurality of samples of the plurality of system parameters, the machine learning operation training a machine learning model to generate a profile for the particular application and an operating mode of the particular application;
• applying the profile to the client information handling system to provide a new information handling system configuration, the new information handling system configuration optimizing the information handling system for the particular application, the dynamic application optimization operation optimizing the client information handling system for the particular application based on application characteristics on the client information handling system to provide increased performance of the particular application to the user of the client information handling system.

A non-transitory, computer-readable storage medium embodying computer program code, the computer program code comprising computer executable instructions configured for:

• instrumenting a plurality of system parameters of a client information handling system for monitoring;
• instructing a user to execute a particular application on the client information handling system;
• obtaining a plurality of samples of the plurality of system parameters;
• performing a machine learning operation using the plurality of samples of the plurality of system parameters, the machine learning operation training a machine learning model to generate a profile for the particular application and an operating mode of the particular application;
• applying the profile to the client information handling system to provide a new information handling system configuration, the new information handling system configuration optimizing the information handling system for the particular application, the dynamic application optimization operation optimizing the client information handling system for the particular application based on application characteristics on the client information handling system to provide increased performance of the particular application to the user of the client information handling system.