Name
Abstract | ||
|---|---|---|
Flash-based solid-state drives (SSDs) are increasingly adopted as the mainstream storage media in modern data centers. However, little is known about how SSD failures in the field are correlated, both spatially and temporally. We argue that characterizing correlated failures of SSDs is critical, especially for guiding the design of redundancy protection for high storage reliability. We present an in-depth data-driven analysis on the correlated failures in the SSD-based data centers at Alibaba. We study nearly one million SSDs of 11 drive models based on a dataset of SMART logs, trouble tickets, physical locations, and applications. We show that correlated failures in the same node or rack are common, and study the possible impacting factors on those correlated failures. We also evaluate via trace-driven simulation how various redundancy schemes affect the storage reliability under correlated failures. To this end, we report 15 findings. Our dataset and source code are now released for public use. |
Year | Venue | DocType |
|---|---|---|
2021 | PROCEEDINGS OF THE 19TH USENIX CONFERENCE ON FILE AND STORAGE TECHNOLOGIES (FAST '21) | Conference |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Shujie Han | 1 | 0 | 0.34 |
| Patrick P. C. Lee | 2 | 1295 | 82.50 |
| Fan Xu | 3 | 0 | 0.68 |
| Yi Liu | 4 | 0 | 0.34 |
| Cheng He | 5 | 66 | 13.22 |
| Jiongzhou Liu | 6 | 0 | 0.68 |