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ShanghaiTech University Knowledge Management System
FILT: Optimizing KV-Embedded File Systems through Flat Indexing | |
2020 | |
会议录名称 | 2020 IEEE 40TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS)
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ISSN | 1063-6927 |
发表状态 | 已发表 |
DOI | 10.1109/ICDCS47774.2020.00150 |
摘要 | The effectiveness of applying key-value store mechanisms to manage metadata of file systems has been demonstrated recently. However, traditional indirect metadata indexing schemes are not in concert with modern key-value data structures, which could degrade the performance of a KV-embedded file system due to the overhead of hierarchical path queries. In this paper, we propose FILT, a proof-of-concept file system middleware that can solve this problem by employing flat indexing. FILT exploits the benefits of both flat indexing and LSM-tree structure to eliminate redundant path lookups. Our extensive performance evaluation studies show that FILT can offer up to 5.8x performance gain compared with sophisticated local file systems. |
关键词 | File System Key-Value Store Flat Indexing |
会议地点 | Singapore, Singapore |
会议日期 | 29 Nov.-1 Dec. 2020 |
URL | 查看原文 |
收录类别 | EI ; CPCI ; CPCI-S |
来源库 | IEEE |
引用统计 | 正在获取...
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文献类型 | 会议论文 |
条目标识符 | https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/126493 |
专题 | 信息科学与技术学院 信息科学与技术学院_PI研究组_殷树组 信息科学与技术学院_硕士生 信息科学与技术学院_博士生 |
作者单位 | 1.School of Information Science and Technology, ShanghaiTech University, China 2.State Key Laboratory of High Performance Computing, China |
第一作者单位 | 信息科学与技术学院 |
第一作者的第一单位 | 信息科学与技术学院 |
推荐引用方式 GB/T 7714 | Chen Chen,Tongliang Deng,Jian Zhang,et al. FILT: Optimizing KV-Embedded File Systems through Flat Indexing[C],2020. |
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