Your read is our priority in flash storage

Author:

An Mijin1,Im Soojun2,Jung Dawoon2,Lee Sang-Won1

Affiliation:

1. Sungkyunkwan University, Suwon, Korea

2. Samsung Electronics Co., Hwasung, Korea

Abstract

When replacing a dirty victim page upon page miss, the conventional buffer managers flush the dirty victim first to the storage before reading the missing page. This read-after-write (RAW) protocol, unfortunately, causes the read stall problem on flash storage; because of the asymmetric I/O speed and parallelism in flash storage, the clean frames are quickly consumed, so the read for the missing page often has to wait for the slow write to complete and for the frame to be clean due to the resource conflict for the same buffer frame. RAW will thus make the performance-critical synchronous reads often blocked by writes, severely worsening transaction throughput and latency. In addition, its strict I/O ordering will make flash storage with abundant parallelism under-utilized. To avoid read stalls in the DBMS buffer, we propose RW ( fused read and write ) as a new storage interface. Using RW on read stall, the buffer manager can issue both read and write requests at once to the storage. Then, once the dirty page is copied to the storage buffer, it can immediately serve the read. In addition, to resolve read stalls in the flash storage buffer, we propose R-Buf, where the read buffer is separated from the write buffer so that reads can proceed at no stall. RW and R-Buf, working at different layers, complement each other when used together. We prototype RW and R-Buf on a real Cosmos+ OpenSSD board. Evaluation results show that RW alone improves TPC-C throughput over RAW by 3.2x and, combined with R-Buf, does by 3.9x. In addition, we demonstrate that R-Buf effectively mitigates the I/O interference in multi-tenancy.

Publisher

Association for Computing Machinery (ACM)

Subject

General Earth and Planetary Sciences,Water Science and Technology,Geography, Planning and Development

Reference46 articles.

1. Ibrar Ahmed , Gregory Smith , and Enrico Pirozzi . 2018. PostgreSQL 10 High Performance: Expert Techniques for Query Optimization , High Availability, and Efficient Database Maintenance . Packt Publishing . Ibrar Ahmed, Gregory Smith, and Enrico Pirozzi. 2018. PostgreSQL 10 High Performance: Expert Techniques for Query Optimization, High Availability, and Efficient Database Maintenance. Packt Publishing.

2. LinkBench

3. Jens Axboe. [n.d.]. FIO (Flexible IO Tester). https://github.com/axboe/fio. Jens Axboe. [n.d.]. FIO (Flexible IO Tester). https://github.com/axboe/fio.

4. William Bridge , Ashok Joshi , M. Keihl , Tirthankar Lahiri , Juan Loaiza , and N. MacNaughton . 1997. The Oracle Universal Server Buffer . In Proceedings of the 23rd International Conference on Very Large Data Bases (VLDB '97) . Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 590--594. William Bridge, Ashok Joshi, M. Keihl, Tirthankar Lahiri, Juan Loaiza, and N. MacNaughton. 1997. The Oracle Universal Server Buffer. In Proceedings of the 23rd International Conference on Very Large Data Bases (VLDB '97). Morgan Kaufmann Publishers Inc., San Francisco, CA, USA, 590--594.

5. Internal Parallelism of Flash Memory-Based Solid-State Drives

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Volley: Accelerating Write-Read Orders in Disaggregated Storage;Proceedings of the Nineteenth European Conference on Computer Systems;2024-04-22

2. LRU-C: Parallelizing Database I/Os for Flash SSDs;Proceedings of the VLDB Endowment;2023-05

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3