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

Claim 0:
1. An information handling system operating a sensor fusion prediction based automatic adjustment system of information handling system performance comprising:
a plurality of sensors disposed to monitor hardware components and executing software systems of the information handling system measuring a plurality of influencing attributes 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, wherein a subset of the influencing attributes influence one of a plurality of information handling system characteristics;
a memory device storing definitions of the plurality of information handling system characteristics including a user behavior characteristic describing a value for a 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 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 configuration characteristic describing a value for configuration of hardware components and software on the information handling system;
a hardware processor executing code instructions of the sensor fusion prediction based automatic adjustment system with a machine learning classifier to:
input the subset of influencing attributes to the machine learning classifier code instructions to classify influencing attributes to correspond to the hardware components and software systems with state values for the plurality of information handling system characteristics to yield classified influencing attributes;
with the classified influencing attributes, apply a stochastic prediction machine learning algorithm to the subset of influencing attribute values to predict a future value for a state of at least one of the plurality of information handling system characteristics influenced by the subset of influencing attribute values at a future instance in time;
determine a first adjustment to a policy controlling operational bounds of a first information handling system characteristic for the information handling system if the predicted future value for the state of a first information handling system characteristic output from the stochastic prediction machine learning algorithm falls outside current policy-defined operating bounds indicating aberrant operation; and
automatically perform the first adjustment to the first information handling system characteristic for the information handling system 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.