Efficient initialization and crash recovery for log-based file systems over flash memory

Chin Hsien Wu*, Tei Wei Kuo, Li-Pin Chang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

14 Scopus citations

Abstract

While flash memory has been widely adopted for storage systems for various embedded systems, issues on performance and reliability have started receiving growing attention in recent years. How to provide efficient roll back and quick mounting for flash-memory file systems has become important research topics in recent years, in addition to the work on effective garbage collection and superb run-time performance. Such an observation motivates our work on the investigation of efficient initialization and crash recovery of flash-memory file systems based on log structures. A methodology is proposed for the acceleration of mounting and crash recovery for log-based file systems. A system prototype based on a well-known flash-memory file system YAFFS was implemented with performance evaluation. The experimental results show that the proposed methodology can reduce the mounting time significantly, regardless of whether the file system is properly unmounted.

Original languageEnglish
Title of host publicationApplied Computing 2006 - The 21st Annual ACM Symposium on Applied Computing - Proceedings of the 2006 ACM Symposium on Applied Computing
Pages896-900
Number of pages5
DOIs
StatePublished - 21 Nov 2006
Event2006 ACM Symposium on Applied Computing - Dijon, France
Duration: 23 Apr 200627 Apr 2006

Publication series

NameProceedings of the ACM Symposium on Applied Computing
Volume1

Conference

Conference2006 ACM Symposium on Applied Computing
CountryFrance
CityDijon
Period23/04/0627/04/06

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    Wu, C. H., Kuo, T. W., & Chang, L-P. (2006). Efficient initialization and crash recovery for log-based file systems over flash memory. In Applied Computing 2006 - The 21st Annual ACM Symposium on Applied Computing - Proceedings of the 2006 ACM Symposium on Applied Computing (pp. 896-900). (Proceedings of the ACM Symposium on Applied Computing; Vol. 1). https://doi.org/10.1145/1141277.1141486