@inproceedings{d435ce1b2d754eb08ef81b9cc7c36ac5,
title = "Efficient multi-grained wear leveling for inodes of persistent memory file systems",
abstract = "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.",
keywords = "File system, Inode management, Persistent memory, Wear leveling",
author = "Chaoshu Yang and Duo Liu and Runyu Zhang and Xianzhang Chen and Shun Nie and Fengshun Wang and Qingfeng Zhuge and Sha, \{Edwin H.M.\}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 57th ACM/IEEE Design Automation Conference, DAC 2020 ; Conference date: 20-07-2020 Through 24-07-2020",
year = "2020",
month = jul,
doi = "10.1109/DAC18072.2020.9218626",
language = "英语",
series = "Proceedings - Design Automation Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 57th ACM/IEEE Design Automation Conference, DAC 2020",
address = "美国",
}