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LocoFS: a loosely-coupled metadata service for distributed file systems

Authors:

Tao LiAuthors Info & Claims

SC '17: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

Article No.: 4, Pages 1 - 12

https://doi.org/10.1145/3126908.3126928

Published: 12 November 2017 Publication History

Abstract

Key-Value stores provide scalable metadata service for distributed file systems. However, the metadata's organization itself, which is organized using a directory tree structure, does not fit the key-value access pattern, thereby limiting the performance. To address this issue, we propose a distributed file system with a loosely-coupled metadata service, LocoFS, to bridge the performance gap between file system metadata and key-value stores. LocoFS is designed to decouple the dependencies between different kinds of metadata with two techniques. First, LocoFS decouples the directory content and structure, which organizes file and directory index nodes in a flat space while reversely indexing the directory entries. Second, it decouples the file metadata to further improve the key-value access performance. Evaluations show that LocoFS with eight nodes boosts the metadata throughput by 5 times, which approaches 93% throughput of a single-node key-value store, compared to 18% in the state-of-the-art IndexFS.

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cover image ACM Conferences

SC '17: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

November 2017

801 pages

ISBN:9781450351140

DOI:10.1145/3126908

General Chair:
Bernd Mohr
Jülich Supercomputing Center, Jülich, Germany
,
Program Chair:
Padma Raghavan
Vanderbilt University, Nashville, TN

Copyright © 2017 ACM.

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Published: 12 November 2017

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China Postdoctoral Science Foundation
National Natural Science Foundation of China
Beijing Municipal Science and Technology Commission of China

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SC '17: The International Conference for High Performance Computing, Networking, Storage and Analysis

November 12 - 17, 2017

Colorado, Denver

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SC '17 Paper Acceptance Rate 61 of 327 submissions, 19%;

Overall Acceptance Rate 1,516 of 6,373 submissions, 24%

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https://doi.org/10.23919/DATE58400.2024.10546634
Zhong KYu ZLi QLuo XLong LTan YRen ALiu D(2024)DPC: DPU-accelerated High-Performance File System ClientProceedings of the 53rd International Conference on Parallel Processing10.1145/3673038.3673123(63-72)Online publication date: 12-Aug-2024
https://dl.acm.org/doi/10.1145/3673038.3673123
Zhu BChen YShu J(2024)Exploring the Asynchrony of Slow Memory Filesystem with EasyIOProceedings of the Nineteenth European Conference on Computer Systems10.1145/3627703.3629586(624-640)Online publication date: 22-Apr-2024
https://dl.acm.org/doi/10.1145/3627703.3629586
Carver BHan RZhang JZheng MCheng YAamodt TSwift MJerger N(2023)λFS: A Scalable and Elastic Distributed File System Metadata Service using Serverless FunctionsProceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 410.1145/3623278.3624765(394-411)Online publication date: 25-Mar-2023
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