Introduction

A common SSD fault detection method is to identify faulty drives based on the time threshold of slow I/O response provided by experts. However, this threshold-based method is not suitable in the following scenarios:

• A drive is rejected when I/Os on the drive are slow but upper-layer services are not affected.
• The I/O amount on a drive does not reach the threshold, but services are affected.

To handle such pain points, this feature provides an intelligent fault prediction algorithm based on machine learning on SMART data to predict faulty drives that affect user services, which requires no experience in determining the threshold. Alarms can be generated before services are affected, and customers can handle the faults in a timely manner to prevent faulty drives from affecting service functions.