18077875. DISK FAILURE PREDICTION USING MACHINE LEARNING simplified abstract (Dell Products L.P.)

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DISK FAILURE PREDICTION USING MACHINE LEARNING

Organization Name

Dell Products L.P.

Inventor(s)

Parminder Singh Sethi of Ludhiana (IN)

Madhuri Dwarakanath of Bangalore (IN)

DISK FAILURE PREDICTION USING MACHINE LEARNING - A simplified explanation of the abstract

This abstract first appeared for US patent application 18077875 titled 'DISK FAILURE PREDICTION USING MACHINE LEARNING

Simplified Explanation: The patent application discusses techniques for predicting the remaining life and failure of disks based on operational data, using machine learning algorithms to forecast when a disk will fail and initiating the transfer of data to a replacement disk accordingly.

  • Key Features and Innovation:
   - Collecting operational data of disks
   - Identifying failing disks based on data
   - Predicting remaining operational time using machine learning
   - Executing data transfer to replacement disks based on predictions
  • Potential Applications:

The technology can be applied in data centers, cloud storage facilities, and any environment where disk failures can have significant consequences.

  • Problems Solved:

This technology addresses the challenge of predicting disk failures proactively, allowing for timely data transfer and minimizing downtime.

  • Benefits:
   - Improved data management
   - Reduced risk of data loss
   - Enhanced operational efficiency
  • Commercial Applications:

"Predictive Disk Failure Analysis and Data Transfer" technology can be utilized by data storage companies, IT departments, and organizations reliant on data storage systems.

  • Prior Art:

Readers can explore existing research on predictive maintenance in data storage systems and machine learning algorithms for failure prediction.

  • Frequently Updated Research:

Stay updated on advancements in machine learning algorithms for predictive maintenance in data storage systems.

  • Questions about Predictive Disk Failure Analysis and Data Transfer:

1. How does this technology improve data management in large-scale storage systems? 2. What are the potential cost savings associated with proactive disk failure prediction and data transfer strategies?


Original Abstract Submitted

Techniques for prediction of remaining life and failure of disks are disclosed. For example, a method comprises collecting operational data of a plurality of disks, and identifying at least one disk of the plurality of disks as failing based at least in part on a portion of the operational data associated with the at least one disk. Using one or more machine learning algorithms, a time period when the at least one disk will remain operational is predicted based at least in part on the portion of the operational data associated with the at least one disk. An operation to write contents of the at least one disk on at least one replacement disk is executed, wherein the operation is initiated at a time based at least in part on the predicted time period.

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