자료유형 | 학위논문 |
---|---|
서명/저자사항 | Revolutionizing Storage Stack for Persistent Memories with NOVA File System. |
개인저자 | Xu, Jian. |
단체저자명 | University of California, San Diego. Computer Science. |
발행사항 | [S.l.]: University of California, San Diego., 2018. |
발행사항 | Ann Arbor: ProQuest Dissertations & Theses, 2018. |
형태사항 | 136 p. |
기본자료 저록 | Dissertation Abstracts International 79-12B(E). Dissertation Abstract International |
ISBN | 9780438167926 |
학위논문주기 | Thesis (Ph.D.)--University of California, San Diego, 2018. |
일반주기 |
Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
Adviser: Steven Swanson. |
요약 | Fast non-volatile memories (NVMs) are appearing on the processor memory bus alongside DRAM, becoming non-volatile main memories (NVMMs). The resulting hybrid memory systems will provide software with low-latency, high-bandwidth access to persist |
요약 | This thesis first presents NOVA, a log-structured file system designed to maximize performance on hybrid memory systems while providing strong consistency guarantees. NOVA adapts conventional log-structured file system techniques to exploit the |
요약 | NOVA excels in metadata-intensive and write-intensive workloads. Experimental results show that NOVA provides 22% to 216x throughput improvement compared to state-of-the-art file systems, and 3.1x to 13.5x improvement compared to file systems th |
요약 | NVMM has different failure models from disks and SSDs. Disk I/O errors are not vital for the operating system, but memory errors can hang the entire OS. Persistent memory makes the issue worse: the error is durable and system reboot cannot remov |
요약 | Finally, the thesis evaluates existing applications and analyzes their access patterns to the file system. It finds out that existing NVMM file systems such as ext4-DAX and xfs-DAX do not perform well under applications' typical access patterns, |
일반주제명 | Computer science. Computer engineering. |
언어 | 영어 |
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