HMVFS: A Versioning File System on DRAM/NVM Hybrid Memory
| Autor: | Hao Liu, Yanyan Shen, Shengan Zheng, Yanmin Zhu, Linpeng Huang |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer Networks and Communications
Computer science Volume (computing) 020206 networking & telecommunications 020207 software engineering Fault tolerance 02 engineering and technology computer.software_genre Theoretical Computer Science Persistence (computer science) Metadata Consistency (database systems) Artificial Intelligence Hardware and Architecture 0202 electrical engineering electronic engineering information engineering Operating system Versioning file system Snapshot (computer storage) Overhead (computing) computer Software Software versioning Dram |
| Zdroj: | Journal of Parallel and Distributed Computing. 120:355-368 |
| ISSN: | 0743-7315 |
| DOI: | 10.1016/j.jpdc.2017.10.022 |
| Popis: | The byte-addressable Non-Volatile Memory (NVM) offers fast, fine-grained access to persistent storage, and a large volume of recent researches are conducted on developing NVM-based in-memory file systems. However, existing approaches focus on low-overhead access to the memory and only guarantee the consistency between data and metadata. In this paper, we address the problem of maintaining consistency among continuous snapshots for NVM-based in-memory file systems. We propose an efficient versioning mechanism and implement it in Hybrid Memory Versioning File System (HMVFS), which achieves fault tolerance efficiently and has low impact on I/O performance. Our results show that HMVFS provides better performance on snapshotting and recovering compared with the traditional versioning file systems for many workloads. Specifically, HMVFS has lower snapshotting overhead than BTRFS and NILFS2, improving by a factor of 9.7 and 6.6, respectively. Furthermore, HMVFS imposes minor performance overhead compared with the state-of-the-art in-memory file systems like PMFS. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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