DENOVA:重复数据删除扩展NOVA文件系统

Hyungjoon Kwon, Yonghyeon Cho, Awais Khan, Yeohyeon Park, Youngjae Kim
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引用次数: 4

摘要

本文从数学上和实验上证明了内联重复数据删除在性能上不适合超低延迟Intel Optane DC PM设备上的文件系统,并提出了DeNova,一种专门为日志结构的NVM文件系统(如NOVA)设计的脱机重复数据删除。DeNova提供高性能和低延迟的I/O处理,并在后台执行重复数据删除,而不会干扰前台I/O。DeNova采用无内存的持久重复数据删除元数据,有利于CPU缓存线,并确保任何系统故障的故障一致性。我们在NOVA文件系统中实现DeNova。使用DeNova进行的评估证实,基线NOVA的性能下降小于1%,可以忽略不计,同时节省了大量存储空间。大量的实验表明,DeNova在所有失效情况下都是一致的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DENOVA: Deduplication Extended NOVA File System
This paper shows mathematically and experimentally that inline deduplication is not suitable for file systems on ultra-low latency Intel Optane DC PM devices in terms of performance, and proposes DeNova, an offline deduplication specially designed for log-structured NVM file systems such as NOVA. DeNova offers high-performance and low-latency I/O processing and executes deduplication in the background without interfering with foreground I/Os. DeNova employs DRAM-free persistent deduplication metadata, favoring CPU cache line, and ensures failure consistency on any system failure. We implement DeNova in the NOVA file system. Evaluation with DeNova confirms a negligible performance drop of baseline NOVA of less than 1%, while gaining high storage space savings. Extensive experiments show DeNova is failure consistent in all failure scenario cases.
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