A Fine-Grained Data Reconstruction Algorithm for Solid-State Disks

Peng Wang, D. Hu, C. Xie, Jianzong Wang, X. Qin
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Abstract

Solid-state disks (SSDs) with high I/O performance are increasingly becoming popular. To extend the life time of flash memory, one can apply wear-leveling strategies to manage data blocks. However, wear-leveling strategies certainly inevitably degrade write performance. In addition to low write performance, wear-leveling strategies make one block unwritable when one bit of this block is invalid. Although data reconstruction techniques have been widely employed in disk arrays, the reconstruction techniques has not been studied in the context of solid-state disks. In this paper, we present a new fine-grained data-reconstruction algorithm for solid-state disks. The algorithm aims to provide a simple yet efficient wear-leveling strategy that improves both I/O performance and reliability of solid-state disks. Simulation experiments show that all data blocks have very similar in terms of erasure times. The number of extra erasures incurred by our algorithm is very marginal.
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一种面向固态硬盘的细粒度数据重构算法
具有高I/O性能的固态硬盘(ssd)越来越受欢迎。为了延长闪存的使用寿命,可以采用损耗均衡策略来管理数据块。然而,损耗均衡策略不可避免地会降低写性能。除了低写性能外,当一个块的一个比特无效时,损耗均衡策略会使该块不可写。虽然数据重构技术已广泛应用于磁盘阵列,但在固态磁盘环境下的数据重构技术尚未得到研究。本文提出了一种新的固态磁盘的细粒度数据重构算法。该算法旨在提供一种简单而高效的损耗均衡策略,以提高固态硬盘的I/O性能和可靠性。仿真实验表明,所有数据块的擦除时间非常相似。我们的算法产生的额外擦除次数非常少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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