Improving RAID Performance Using an Endurable SSD Cache

Chu Li, D. Feng, Yu Hua, F. Wang
{"title":"Improving RAID Performance Using an Endurable SSD Cache","authors":"Chu Li, D. Feng, Yu Hua, F. Wang","doi":"10.1109/ICPP.2016.52","DOIUrl":null,"url":null,"abstract":"Parity-based RAID storage systems have been widely deployed in production environments. However, they suffer from poor random write performance due to the parity update overhead, i.e., small write problem. With the increasing density and decreasing price, SSD-based caching offers promising opportunities for improving RAID storage I/O performance. However, as a cache device, frequent writes to SSD leads to being quickly worn out, which causes high costs and reliability problems. In this paper, we propose an efficient cache management scheme by Keeping Data and Deltas (KDD) in SSD. KDD dynamically partitions the cache space into Data Zone (DAZ) and Delta Zone (DEZ). DAZ stores data that are first admitted into SSD. On write hits, KDD writes the data to RAID storage without updating the parity blocks. Meanwhile, the deltas between old version of data and the currently accessed data are compactly stored in DEZ. In addition, KDD organizes the metadata partition on SSD as a circular log to make the cache persistent with low overhead. We evaluate the performance of KDD via both simulations and prototype implementations. Results show that KDD effectively reduces the small write penalty while significantly improving the lifetime of the SSD-based cache.","PeriodicalId":409991,"journal":{"name":"2016 45th International Conference on Parallel Processing (ICPP)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"17","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 45th International Conference on Parallel Processing (ICPP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPP.2016.52","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 17

Abstract

Parity-based RAID storage systems have been widely deployed in production environments. However, they suffer from poor random write performance due to the parity update overhead, i.e., small write problem. With the increasing density and decreasing price, SSD-based caching offers promising opportunities for improving RAID storage I/O performance. However, as a cache device, frequent writes to SSD leads to being quickly worn out, which causes high costs and reliability problems. In this paper, we propose an efficient cache management scheme by Keeping Data and Deltas (KDD) in SSD. KDD dynamically partitions the cache space into Data Zone (DAZ) and Delta Zone (DEZ). DAZ stores data that are first admitted into SSD. On write hits, KDD writes the data to RAID storage without updating the parity blocks. Meanwhile, the deltas between old version of data and the currently accessed data are compactly stored in DEZ. In addition, KDD organizes the metadata partition on SSD as a circular log to make the cache persistent with low overhead. We evaluate the performance of KDD via both simulations and prototype implementations. Results show that KDD effectively reduces the small write penalty while significantly improving the lifetime of the SSD-based cache.
使用耐用SSD Cache提升RAID性能
基于奇偶校验的RAID存储系统在生产环境中得到了广泛的应用。然而,由于奇偶更新开销,它们的随机写性能很差,也就是说,写问题很小。随着密度的增加和价格的降低,基于ssd的缓存为提高RAID存储I/O性能提供了很好的机会。但是,SSD作为缓存设备,由于写入频繁,会导致SSD很快被磨损,造成成本高、可靠性问题。在本文中,我们提出了一种高效的缓存管理方案,即在SSD中保留数据和增量(KDD)。KDD动态地将缓存空间划分为DAZ (Data Zone)和DEZ (Delta Zone)。DAZ存储的是首先进入SSD的数据。在写入命中时,KDD将数据写入RAID存储,而不更新奇偶校验块。同时,旧版本数据与当前访问数据之间的增量被紧凑地存储在DEZ中。此外,KDD将SSD上的元数据分区组织为循环日志,使缓存持久且开销低。我们通过仿真和原型实现来评估KDD的性能。结果表明,KDD有效地减少了小的写损失,同时显著提高了基于ssd的缓存的生命周期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
文献相关原料
公司名称 产品信息 采购帮参考价格
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信