Data-driven Reliability for Datacenter Hard Disk Drives

Alan Yang, AmirEmad Ghassami, E. Rosenbaum, N. Kiyavash
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Abstract

The problem of constructing reliable systems out of unreliable components is usually dealt with through a combination of redundancy and early retirement. This article assesses the potential of an intelligent failure prediction system that depends more on diagnostic data and analytics than built-in redundancy and costly replacement.
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数据中心硬盘驱动器的数据驱动可靠性
用不可靠的组件构建可靠系统的问题通常通过冗余和提前退役的组合来解决。本文评估了智能故障预测系统的潜力,该系统更多地依赖于诊断数据和分析,而不是内置冗余和昂贵的替换。
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