Being Accurate Is Not Enough: New Metrics for Disk Failure Prediction

@article{Li2016BeingAI,
  title={Being Accurate Is Not Enough: New Metrics for Disk Failure Prediction},
  author={Jing Li and Rebecca J. Stones and Gang Wang and Zhongwei Li and Xiaoguang Liu and Kang Xiao},
  journal={2016 IEEE 35th Symposium on Reliable Distributed Systems (SRDS)},
  year={2016},
  pages={71-80}
}
Traditionally, disk failure prediction accuracy is used to evaluate disk failure prediction model. However, accuracy may not reflect their practical usage (protecting against failures, rather than only predicting failures) in cloud storage systems. In this paper, we propose two new metrics for disk failure prediction models: migration rate, which measures how much at-risk data is protected as a result of correct failure predictions, and mismigration rate, which measures how much data is… CONTINUE READING

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Health status and failure prediction for hard drives with recurrent neural networks

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