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A Highly Reliable Storage Systems Based on SSD Array for IoE Environment

机译:基于SSD阵列的IoE环境高度可靠的存储系统

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摘要

Devices in IoE (Internet of Everything) environment generate massive data from various sensors. To store and process the rapidly incoming large-scale data, SSDs are used for improving performance and reliability of storage systems. However, they have typical problem called write amplification which is caused by out-of-place updates characteristics. As the write amplification increases, it degrades I/O performance and shortens SSDs' lifetime. This paper presents a new approach to reduce write amplification of SSD arrays. To solve the problem, this paper proposes a new parity update scheme, called LPUS. LPUS transforms random parity updates to sequential writes with additional log blocks in SSD arrays by using parity logs and lazy parity updates. The experimental results show that, LPUS reduces write amplification up to 37% and the number of erases up to 50% with the reasonable size of log space.
机译:IoE(万物互联)环境中的设备从各种传感器生成大量数据。为了存储和处理快速传入的大规模数据,SSD用于提高存储系统的性能和可靠性。但是,它们具有典型的问题,称为写放大,这是由不适当的更新特性引起的。随着写入放大率的增加,它会降低I / O性能并缩短SSD的寿命。本文提出了一种减少SSD阵列写放大的新方法。为了解决这个问题,本文提出了一种新的奇偶校验更新方案,称为LPUS。 LPUS通过使用奇偶校验日志和惰性奇偶校验更新将随机奇偶校验更新转换为具有SSD阵列中其他日志块的顺序写入。实验结果表明,在合理的日志空间大小下,LPUS最多可将写入放大率降低37%,将擦除次数减少50%。

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