US 12,001,968 B2
Using prediction uncertainty quantifier with machine learning classifier to predict the survival of a storage device
Parminder Singh Sethi, Punjab (IN); Rahul Deo Vishwakarma, Bangalore (IN); and Vasanth Sathyanarayanan, Bangalore (IN)
Assigned to DELL PRODUCTS, L.P., Round Rock, TX (US)
Filed by Dell Products, L.P., Round Rock, TX (US)
Filed on Jan. 5, 2021, as Appl. No. 17/141,551.
Prior Publication US 2022/0215273 A1, Jul. 7, 2022
Int. Cl. G06N 5/04 (2023.01); G06N 5/01 (2023.01); G06N 5/02 (2023.01); G06N 20/20 (2019.01)
CPC G06N 5/04 (2013.01) [G06N 5/01 (2023.01); G06N 5/027 (2013.01); G06N 20/20 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A system, comprising:
a processor, and
a memory that stores executable instructions that, when executed by the processor, facilitate performance of operations, the operations comprising:
selecting a storage device;
obtaining a confidence score corresponding to a predicted survival rate of the storage device for a specified time point, comprising inputting a dataset of parameter data obtained for the storage device into a machine learning model that outputs predicted survival rate data relative to the specified time point, and inputting the predicted survival rate data into a prediction uncertainty quantifier that outputs the confidence score; and
evaluating the confidence score to determine whether to take a remedial action with respect to the storage device prior to the specified time point being reached, wherein the evaluating comprises:
ranking the storage device relative to respective other storage devices based on the confidence score associated with the predicted survival rate of the storage device relative to respective other confidence scores associated with respective other predicted survival rates of the respective other storage devices.