An In-Depth Study of Correlated Failures in Production SSD-Based Data Centers
summary
Analysis of nearly one million SSDs from Alibaba across 11 drive models shows intra-node and intra-rack correlated failures are common and group sizes sometimes exceed redundancy limits. SMART attributes are weak predictors (max SRCC 0.23), while drive model density, age, many same-model drives per node/rack, and write-dominant workloads increase correlation. Trace-driven simulation finds erasure coding outperforms replication but all schemes degrade under correlated failures and lazy recovery worsens data-loss risk compared to eager recovery.
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chapters (15)
- 0:00Intro
- 0:34Motivation
- 1:08Our Contribution
- 1:53Dataset
- 2:36Analysis Methodology
- 3:20Correlations Among Failures
- 4:22Impact of Drive Models
- 5:26Impact of Lithography
- 5:59Impact of Age
- 6:25Impact of Capacity
- 6:53Impact of SMART Attributes
- 7:34Impact of Applications
- 8:52Case Study: Redundancy Protection
- 9:34Simulation Results
- 10:59Conclusion
