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Efficient Multi-Grained Wear Leveling for Inodes of Persistent Memory File Systems

机译:持久性存储文件系统inode的高效多粒度磨损平衡

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Existing persistent memory file systems usually store inodes in fixed locations, which ignores the external and internal imbalanced wears of inodes on the persistent memory (PM). Therefore, the PM for storing inodes can be easily damaged. Existing solutions achieve low accuracy of wear-leveling with high-overhead data migrations. In this paper, we propose a Lightweight and Multi-grained Wear-leveling Mechanism, called LMWM, to solve these problems. We implement the proposed LMWM in Linux kernel based on NOVA, a typical persistent memory file system. Compared with MARCH, the state-of-theart wear-leveling mechanism for inode table, experimental results show that LMWM can improve 2.5× lifetime of PM and 1.12× performance, respectively.
机译:现有的持久性存储器文件系统通常将inode存储在固定的位置,而忽略了inode对持久性存储器(PM)的外部和内部不平衡磨损。因此,用于存储inode的PM容易损坏。现有的解决方案通过高开销的数据迁移实现了磨损均衡的低精度。在本文中,我们提出了一种轻量级且多粒度的磨损均衡机制,称为LMWM,以解决这些问题。我们在基于NOVA(典型的持久性存储文件系统)的Linux内核中实现建议的LMWM。与最先进的inode表磨损均衡机制MARCH相比,实验结果表明LMWM可以分别提高PM的2.5倍寿命和1.12倍的性能。

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