| LDR | | 02685nam u200445 4500 |
| 001 | | 000000420915 |
| 005 | | 20190215164845 |
| 008 | | 181129s2018 |||||||||||||||||c||eng d |
| 020 | |
▼a 9780438167926 |
| 035 | |
▼a (MiAaPQ)AAI10811656 |
| 035 | |
▼a (MiAaPQ)ucsd:17370 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 004 |
| 100 | 1 |
▼a Xu, Jian. |
| 245 | 10 |
▼a Revolutionizing Storage Stack for Persistent Memories with NOVA File System. |
| 260 | |
▼a [S.l.]:
▼b University of California, San Diego.,
▼c 2018. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2018. |
| 300 | |
▼a 136 p. |
| 500 | |
▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B. |
| 500 | |
▼a Adviser: Steven Swanson. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of California, San Diego, 2018. |
| 520 | |
▼a 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 |
| 520 | |
▼a 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 |
| 520 | |
▼a 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 |
| 520 | |
▼a 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 |
| 520 | |
▼a 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, |
| 590 | |
▼a School code: 0033. |
| 650 | 4 |
▼a Computer science. |
| 650 | 4 |
▼a Computer engineering. |
| 690 | |
▼a 0984 |
| 690 | |
▼a 0464 |
| 710 | 20 |
▼a University of California, San Diego.
▼b Computer Science. |
| 773 | 0 |
▼t Dissertation Abstracts International
▼g 79-12B(E). |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0033 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2018 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T14997991
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 201812
▼f 2019 |
| 990 | |
▼a ***1012033 |