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Modernizing File System through In-Storage Indexing

Title
Modernizing File System through In-Storage Indexing
Author(s)
Koo, JinhyungIm, JunsuSong, JooyoungPark, JuhyungLee, EunjiKim, Bryan S.Lee, Sungjin
Issued Date
2021-07-14
Citation
USENIX Symposium on Operating Systems Design and Implementation, pp.75 - 92
Type
Conference Paper
ISBN
9781939133229
Abstract
We argue that a key-value interface between a file system and an SSD is superior to the legacy block interface by presenting KEVIN. KEVIN combines a fast, lightweight, and POSIX-compliant file system with a key-value storage device that performs in-storage indexing. We implement a variant of a log-structured merge tree in the storage device that not only indexes file objects, but also supports transactions and manages physical storage space. As a result, the design of a file system with respect to space management and crash consistency is simplified, requiring only 10.8K LOC for full functionality. We demonstrate that KEVIN reduces the amount of I/O traffic between the host and the device, and remains particularly robust as the system ages and the data become fragmented. Our approach outperforms existing file systems on a block SSD by a wide margin – 6.2× on average – for metadata-intensive benchmarks. For realistic workloads, KEVIN improves throughput by 68% on average. © 2021 by The USENIX Association. All rights reserved.
URI
http://hdl.handle.net/20.500.11750/46914
DOI
10.5281/zenodo.4659803
Publisher
USENIX Association
Related Researcher
  • 이성진 Lee, Sungjin
  • Research Interests Computer System; System Software; Storage System; Non-volatile Memory; Flash-based SSD; Distributed Storage Systems
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Appears in Collections:
Department of Electrical Engineering and Computer Science Data-Intensive Computing Systems Laboratory 2. Conference Papers

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