Abstract
Disk is not only an important carrier to save data, but also a key component of storage system. It is of great significance to improve the reliability and data availability of disk. In the big data environment, the number of disks in the storage system is huge and distributed, so the maintenance for disk failure is inefficient and costly. Disk bad track is one of the most common disk faults. To solve this problem, this paper proposes a disk bad track isolation algorithm. This approach uses a data fault-tolerance mechanism to isolate physical bad tracks, effectively reducing the disk failure rate, improving service stability, and reducing system maintenance costs. The results show that the bad track isolation method can reduce the Disk IO exception by 47%, and significantly reduce the disk failure rate. It is effective in improving system stability and reducing maintenance cost.
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Zhang, X., Zheng, L., Zhang, S. (2022). Research on Data Fault-Tolerance Method Based on Disk Bad Track Isolation. In: Qiu, M., Gai, K., Qiu, H. (eds) Smart Computing and Communication. SmartCom 2021. Lecture Notes in Computer Science, vol 13202. Springer, Cham. https://doi.org/10.1007/978-3-030-97774-0_18
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DOI: https://doi.org/10.1007/978-3-030-97774-0_18
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