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ConfD: Analyzing Configuration Dependencies of File Systems for Fun and Profit

Tabassum Mahmud, Om Rameshwar Gatla, Duo Zhang, Carson Love, Ryan Bumann, Mai Zheng

出版方
2023年份
7被引次数
1顶会引用

摘要

File systems play an essential role in modern society for managing precious data. To meet diverse needs, they often support many configuration parameters. Such flexibility comes at the price of additional complexity which can lead to subtle configuration-related issues. To address this challenge, we study the configuration-related issues of two major file systems (i.e., Ext4 and XFS) in depth, and identify a prevalent pattern called multilevel configuration dependencies. Based on the study, we build an extensible tool called CONFD to extract the dependencies automatically, and create six plugins to address different configuration-related issues. Our experiments on Ext4 and XFS show that CONFD can extract more than 150 configuration dependencies for the file systems with a low false positive rate. Moreover, the dependency-guided plugins can identify various configuration issues (e.g., mishandling of configurations, regression test failures induced by valid configurations).

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