Back to results
US 11,599,402 B2Granted
Method and system for reliably forecasting storage disk failure
AssigneeEMC IP Holding Company LLC
InventorsRahul Deo Vishwakarma, Jayanth Kumar Reddy Perneti
Life of this patent
Estimating the term…
Abstract
A method and system for reliably forecasting storage disk failure. Specifically, the method and system disclosed herein entail predicting whether one or more storage disks may fail within a future time period. Further, the storage disk failure forecasts may rely on machine learning classification coupled with prediction reliability scoring.
Claims16
A method for forecasting storage disk failure, comprising:
- obtaining, from an auto-support database, a raw dataset comprising a first set of data tuples, each comprising a feature set and a disk health class, the data tuples include SMART data and SCSI error codes for a plurality of different physical storage disks that have been collected over a preset amount of time;
- reducing the raw dataset to a select dataset comprising a second set of data tuples, each comprising a feature subset of the feature set and the disk health class;
- inputting a set of missing data values in the select dataset to obtain the select-gapless dataset comprising a gapless version of the second set of data tuples;
- initializing a classification learning model;
- applying incremental learning to the classification learning model using the select-gapless dataset to obtain a set of disk failure forecasts for a set of storage disks;
- and
- performing a proactive response based on the set of disk failure forecasts, wherein the proactive response comprises replacing at least one disk from the set of storage disks.
4 more elements
A system, comprising:
- an auto-support database operatively connected to a disk failure forecasting service,
- the disk failure forecasting service comprising a computer processor configured to:
- obtain, from an auto-support database, a raw dataset comprising a first set of data tuples, each comprising a feature set and a disk health class, the data tuples include SMART data and SCSI error codes for a plurality of different physical storage disks that have been collected over a preset amount of time;
- reduce the raw dataset to a select dataset comprising a second set of data tuples, each comprising a feature subset of the feature set and the disk health class;
- input a set of missing data values in the select dataset to obtain the select-gapless dataset comprising a gapless version of the second set of data tuples;
- initialize a classification learning model;
- apply incremental learning to the classification learning model using the select-gapless dataset to obtain a set of disk failure forecasts for a set of storage disks;
- and
- perform a proactive response based on the set of disk failure forecasts, wherein the proactive response comprises replacing at least one disk from the set of storage disks.
6 more elements
A non-transitory computer readable medium (CRM) comprising computer readable program code, which when executed by a computer processor, enables the computer processor to:
- obtain, from an auto-support database, a raw dataset comprising a first set of data tuples, each comprising a feature set and a disk health class, the data tuples include SMART data and SCSI error codes for a plurality of different physical storage disks that have been collected over a preset amount of time;
- reduce the raw dataset to a select dataset comprising a second set of data tuples, each comprising a feature subset of the feature set and the disk health class;
- input a set of missing data values in the select dataset to obtain the select-gapless dataset comprising a gapless version of the second set of data tuples;
- initialize a classification learning model;
- apply incremental learning to the classification learning model using the select-gapless dataset to obtain a set of disk failure forecasts for a set of storage disks;
- and
- perform a proactive response based on the set of disk failure forecasts, wherein the proactive response comprises replacing at least one disk from the set of storage disks.
4 more elements
Dependencies are inferred from the claim text.