Description

Sangfor independently developed a high-accuracy bad-sector prediction function by collecting and analyzing the SMART data, performance parameters, and hard-disk log information of bad-sector hard drives in many customer real usage scenarios, combined with advanced algorithm training models. The accuracy of aSAN bad sector prediction is over 95%.

aSAN can dynamically sense which hard disks in the cluster are most likely to have bad sectors according to the upper-layer production load and the usage of cluster hard disks and perform bad sector scanning on them first. This can reduce the actual window of hard disk bad sectors found from the original one week or even one month. It can be shortened to one day. Combined with aSAN bad sector scanning and repair, closed-loop processing of hard disk bad sectors is formed, which significantly shortens the risk period of data being in a single copy due to hard disk bad sectors.

In the bad sector prediction interface, users can see the bad sector prediction results, actual scan results, and bad sector repair status of the hard disk. At the same time, the risk assessment of the hard disk will be performed according to the number of bad sectors in the hard disk. An alert is generated to prompt the user to replace the hard disk as soon as possible to prevent data loss due to hard disk damage caused by too many bad sectors.

Precautions

None.

Prerequisites

None.

Steps

1. Go to the Storage > Summary page, and you can view the health status of the hard disk in the Storage Forecast module.
2. Click Bad Sectors to view the hard disk's bad sector prediction result and repair status.

• Hard drives with cumulative physical bad sectors greater than or equal to 40 are rated as risk.

• Hard drives with cumulative physical bad sectors of 100 or more are rated as high-risk hard drives.

• Perform risk assessment on hard disks based on the total number of physical bad sectors accumulated in history. Please replace hard disks rated as risk or high-risk in time.