High-Performance Transaction Processing in Journaling File Systems


Yongseok Son, Sunggon Kim, and Heon Young Yeom, Seoul National University; Hyuck Han, Dongduk Women's University


Journaling file systems provide crash-consistency to applications by keeping track of uncommitted changes in the journal area (journaling) and writing committed changes to their original area at a certain point (checkpointing). They generally use coarse-grained locking to access shared data structures and perform I/O operations by a single thread. For these reasons, journaling file systems often face the problem of lock contention and underutilization of I/O bandwidth on multi-cores with high-performance storage. To address these issues, we design journaling and checkpointing schemes that enable concurrent updates on data structures and parallelize I/O operations. We implement our schemes in EXT4/JBD2 and evaluate them on a 72-core machine with a high-performance NVMe SSD. The experimental results show that our optimized file system improves the performance by up to about 2.2x and 1.5x compared to the existing EXT4 file system and a state-of-art scalable file system, respectively.

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@inproceedings {210524,
author = {Yongseok Son and Sunggon Kim and Heon Y. Yeom and Hyuck Han},
title = {High-Performance Transaction Processing in Journaling File Systems},
booktitle = {16th {USENIX} Conference on File and Storage Technologies ({FAST} 18)},
year = {2018},
isbn = {978-1-931971-42-3},
address = {Oakland, CA},
pages = {227--240},
url = {https://www.usenix.org/conference/fast18/presentation/son},
publisher = {{USENIX} Association},