Patent ID: 11924290
Assignee: DELL PRODUCTS L.P.
Field: Computer technology (Electrical engineering)
Classification: CPC H  G | IPC G  H

Claim 7:
8. A method of automatically adjusting information handling system characteristics of an information handling system based on a sensor fusion prediction, comprising:
measuring a plurality of influencing attributes via a plurality of sensors detecting operation of the information handling system including a digital chronometer for providing hour/day measurements, a GPS sensor providing location measurements, an accelerometer providing measurements of a current positional configuration of the information handling system such as clamshell mode, tablet mode, or tent mode, and an antenna front end sensor providing communication link quality measurements;
determining, via a hardware processor executing code instructions, a subset of the influencing attributes that influence a first information handling system characteristic selected from a plurality of information handling system characteristics relating to hardware components or software systems of the information handling system;
storing in a memory device definitions of the plurality of information handling system characteristics including a user behavior characteristic describing a value for location and time of usage of an information handling system and tasks performed by the information handling system corresponding to those places and times, a performance mapping characteristic describing a value for a value for hardware component prioritization among hardware processor, memory, and network interface adapter corresponding to detected tasks performed by the information handling system, a power status characteristic describing a value for power consumption levels by hardware components of the information handling system during performance of tasks, a security profile characteristic describing a value for security required to access and use the information handling system, and a policy configuration characteristic describing a value for configuration of hardware components and software on the information handling system;
executing code instructions of an iterative, closed-loop stochastic prediction machine learning algorithm with the subset of influencing attribute values as input, via the hardware processor, to predict a future value of a state of the first information handling system characteristic for a first hardware component or software component of the information handling system influenced by the subset of influencing attribute values at a future instance in time as output;
determining, via the hardware processor, a first adjustment to operation of the first information handling system characteristic if the predicted future value of the state of the first information handling system characteristic falls outside current policy-defined operating bounds indicating aberrant operation; and
automatically performing the first adjustment to the operation of the first information handling system characteristic for the corresponding hardware component or software system, via the hardware processor, prior to occurrence of the future instance in time to avoid the value for the state of the first information handling system characteristic reaching aberrant operation of the corresponding hardware component or software system associated with the first information handling system characteristic.