FlashAlloc: Dedicating Flash Blocks by Objects

Author:

Park Jonghyeok1,Choi Soyee2,Oh Gihwan3,Im Soojun2,Oh Moon-Wook2,Lee Sang-Won3

Affiliation:

1. Hankuk University of Foreign Studies

2. Samsung Electronics Co.

3. Sungkyunkwan University

Abstract

For a write request, today's flash storage cannot distinguish the logical object it comes from ( e.g. , SSTables in RocksDB). In such object-oblivious flash devices, concurrent writes from different objects are simply packed in their arrival order to flash memory blocks; hence data pages from multiple objects with different lifetimes are multiplexed onto the same flash blocks. This multiplexing incurs write amplification, worsening the performance. Tackling the multiplexing problem, we propose a novel interface for flash storage, FlashAlloc. It is used to pass the logical address ranges of objects to the underlying flash device and thus to enlighten the device to stream writes by objects. The object-aware flash storage can now de-multiplex concurrent writes from multiple objects with distinct deathtimes into per-object dedicated flash blocks. In essence, the interface enables the per-object fine-grained write streaming. Given that popular data stores tend to separate writes by logical objects, we can achieve, compared to the existing solutions, transparent streaming just by calling FlashAlloc upon object creation. Also, FlashAlloc is adaptive to workload changes, and liberates the stream conflicts in the multi-tenant environment. Our experimental results using an open-source SSD prototype demonstrate that FlashAlloc can reduce the device-level write amplification factor (WAF) under RocksDB, F2FS, and MySQL by 1.5, 2.5, and 0.3, respectively and improve their throughput by 2.7x, 1.8x, and 1.2x, respectively. Also, FlashAlloc can mitigate the WAF interference among tenants: when running RocksDB and MySQL together on the same SSD, FlashAlloc reduced WAF from 2.5 to 1.6 and doubled their throughputs.

Publisher

Association for Computing Machinery (ACM)

Subject

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

Reference49 articles.

1. 2022 OCP Global Summit 2022. PANEL: Flexible Data Placement using NVM Express - Implementation Perspective. https://www.opencompute.org/events/past-events/2022-ocp-global-summit. 2022 OCP Global Summit 2022. PANEL: Flexible Data Placement using NVM Express - Implementation Perspective. https://www.opencompute.org/events/past-events/2022-ocp-global-summit.

2. The Seattle Report on Database Research;Daniel Abadi;SIGMOD Record,2020

3. Avoiding Read Stalls on Flash Storage

4. Remzi H. Arpaci-Dusseau and Andrea C . Arpaci-Dusseau . 2018 . Operating Systems : Three Easy Pieces. CreateSpace Independent Publishing Platform , USA. Remzi H. Arpaci-Dusseau and Andrea C. Arpaci-Dusseau. 2018. Operating Systems: Three Easy Pieces. CreateSpace Independent Publishing Platform, USA.

5. Oana Balmau , Florin Dinu , Willy Zwaenepoel , Karan Gupta , Ravishankar Chandhiramoorthi , and Diego Didona . 2019 . SILK: Preventing Latency Spikes in Log-Structured Merge Key-Value Stores .. In USENIX Annual Technical Conference. 753--766 . Oana Balmau, Florin Dinu, Willy Zwaenepoel, Karan Gupta, Ravishankar Chandhiramoorthi, and Diego Didona. 2019. SILK: Preventing Latency Spikes in Log-Structured Merge Key-Value Stores.. In USENIX Annual Technical Conference. 753--766.

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