实用擦洗:在正确的时间到达坏扇区

George Amvrosiadis, Alina Oprea, Bianca Schroeder
{"title":"实用擦洗:在正确的时间到达坏扇区","authors":"George Amvrosiadis, Alina Oprea, Bianca Schroeder","doi":"10.1109/DSN.2012.6263919","DOIUrl":null,"url":null,"abstract":"Latent sector errors (LSEs) are a common hard disk failure mode, where disk sectors become inaccessible while the rest of the disk remains unaffected. To protect against LSEs, commercial storage systems use scrubbers: background processes verifying disk data. The efficiency of different scrubbing algorithms in detecting LSEs has been studied in depth; however, no attempts have been made to evaluate or mitigate the impact of scrubbing on application performance. We provide the first known evaluation of the performance impact of different scrubbing policies in implementation, including guidelines on implementing a scrubber. To lessen this impact, we present an approach giving conclusive answers to the questions: when should scrubbing requests be issued, and at what size, to minimize impact and maximize scrubbing throughput for a given workload. Our approach achieves six times more throughput, and up to three orders of magnitude less slowdown than the default Linux I/O scheduler.","PeriodicalId":236791,"journal":{"name":"IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Practical scrubbing: Getting to the bad sector at the right time\",\"authors\":\"George Amvrosiadis, Alina Oprea, Bianca Schroeder\",\"doi\":\"10.1109/DSN.2012.6263919\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Latent sector errors (LSEs) are a common hard disk failure mode, where disk sectors become inaccessible while the rest of the disk remains unaffected. To protect against LSEs, commercial storage systems use scrubbers: background processes verifying disk data. The efficiency of different scrubbing algorithms in detecting LSEs has been studied in depth; however, no attempts have been made to evaluate or mitigate the impact of scrubbing on application performance. We provide the first known evaluation of the performance impact of different scrubbing policies in implementation, including guidelines on implementing a scrubber. To lessen this impact, we present an approach giving conclusive answers to the questions: when should scrubbing requests be issued, and at what size, to minimize impact and maximize scrubbing throughput for a given workload. Our approach achieves six times more throughput, and up to three orders of magnitude less slowdown than the default Linux I/O scheduler.\",\"PeriodicalId\":236791,\"journal\":{\"name\":\"IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012)\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DSN.2012.6263919\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2012)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DSN.2012.6263919","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 20

摘要

潜在扇区错误(lse)是一种常见的硬盘故障模式,在这种情况下,磁盘扇区无法访问,而磁盘的其他部分不受影响。为了防止lse,商业存储系统使用了洗涤器:验证磁盘数据的后台进程。对不同的清洗算法在检测lse中的效率进行了深入的研究;但是,没有尝试评估或减轻清理对应用程序性能的影响。我们提供了第一个已知的对不同清除策略在实现中的性能影响的评估,包括关于实现清除器的指导方针。为了减轻这种影响,我们提出了一种方法,对以下问题给出了结结性的答案:应该在什么时候发出清理请求,以及以多大的规模发出,以最小化影响并最大化给定工作负载的清理吞吐量。与默认的Linux I/O调度器相比,我们的方法实现了六倍的吞吐量,并且减少了多达三个数量级的速度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Practical scrubbing: Getting to the bad sector at the right time
Latent sector errors (LSEs) are a common hard disk failure mode, where disk sectors become inaccessible while the rest of the disk remains unaffected. To protect against LSEs, commercial storage systems use scrubbers: background processes verifying disk data. The efficiency of different scrubbing algorithms in detecting LSEs has been studied in depth; however, no attempts have been made to evaluate or mitigate the impact of scrubbing on application performance. We provide the first known evaluation of the performance impact of different scrubbing policies in implementation, including guidelines on implementing a scrubber. To lessen this impact, we present an approach giving conclusive answers to the questions: when should scrubbing requests be issued, and at what size, to minimize impact and maximize scrubbing throughput for a given workload. Our approach achieves six times more throughput, and up to three orders of magnitude less slowdown than the default Linux I/O scheduler.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信