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Data Dependent Sparing to Manage Better-Than-Bad Blocks

机译:依赖数据的备用来管理优于坏块

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We forecast that proper handling of unreliable storage blocks (e.g., "bad block management" in solid-state drives) will remain critical for future systems built with advanced and emerging memory technologies. This paper argues that the conventional block retirement and sparing approach--a block is retired as soon as it shows faulty behavior--is overly conservative and inefficient. We observe that it is highly unlikely that all faulty bits in a storage block manifest errors. Consequently, we propose data dependent sparing, a relaxed block retirement and sparing approach that recycles faulty storage blocks. At small management cost and with less than 1% sparing, data dependent sparing achieves the same lifetime as the conventional approach with 20% sparing.
机译:我们预测,正确处理不可靠的存储块(例如,固态驱动器中的“坏块管理”)对于使用先进和新兴内存技术构建的未来系统仍然至关重要。本文认为,传统的区块报废和备用方法-区块一旦表现出错误的行为就会立即报废-过于保守且效率低下。我们观察到,存储块中的所有故障位极不可能出现错误。因此,我们提出了与数据相关的备用,放松的块报废和备用方法,以回收故障的存储块。以较少的管理成本和少于1%的节省,与数据相关的节省达到了与传统方法20%保留相同的生命周期。

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