Minority Disk Failure Prediction based on Transfer Learning in Large Data Centers of Heterogeneous Disk Systems

IEEE Transactions on Parallel and Distributed Systems(2020)

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摘要
The storage system in large scale data centers is typically built upon thousands or even millions of disks, where disk failures constantly happen. A disk failure could lead to serious data loss and thus system unavailability or even catastrophic consequences if the lost data cannot be recovered. While replication and erasure coding techniques have been widely deployed to guarantee storage availabi...
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关键词
Data centers,Servers,Data models,Predictive models,Training data,Support vector machines,Reliability
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