CoRec:擦除编码存储集群中多故障的协同重构模式

Jianzhong Huang, Er-wei Dai, C. Xie, X. Qin
{"title":"CoRec:擦除编码存储集群中多故障的协同重构模式","authors":"Jianzhong Huang, Er-wei Dai, C. Xie, X. Qin","doi":"10.1109/ICPP.2015.56","DOIUrl":null,"url":null,"abstract":"It is indispensable to speed up a reconstruction process in erasure-coded storage clusters, because a fast data recovery helps to shorten the vulnerability window while improving storage system reliability. To address double- and multiple-node failures, this paper proposes a cooperative reconstruction pattern - CoRec - to minimize reconstruction traffic. CoRec not only enables all rebuilding nodes to collaboratively reconstruct failed blocks but also limits each surviving block to be transferred over network only once. To clarify two CoRec based reconstruction schemes (i.e., CoRec-rn and CoRec-sn), we investigate two alternative reconstruction schemes (i.e., CRec and DRec). We develop reconstruction-time models, which are validated using empirical data, to estimate reconstruction performance of large-scale storage clusters and to pinpoint performance bottlenecks in the reconstruction process. We implement a proof-of-concept prototype where the four reconstruction schemes are quantitatively evaluated. Experimental results show that CoRec-rn and CoRec-sn significantly reduce the reconstruction time of CRec and DRec. In a real-world 9-node storage cluster, CoRec-rn speeds up the double-node reconstruction of CRec and DRec by a factor of at least 1.72, CoRec-sn accelerates the double-node reconstruction of CRec and DRec by a factor of at least 4.76.","PeriodicalId":423007,"journal":{"name":"2015 44th International Conference on Parallel Processing","volume":"32 1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"CoRec: A Cooperative Reconstruction Pattern for Multiple Failures in Erasure-Coded Storage Clusters\",\"authors\":\"Jianzhong Huang, Er-wei Dai, C. Xie, X. Qin\",\"doi\":\"10.1109/ICPP.2015.56\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is indispensable to speed up a reconstruction process in erasure-coded storage clusters, because a fast data recovery helps to shorten the vulnerability window while improving storage system reliability. To address double- and multiple-node failures, this paper proposes a cooperative reconstruction pattern - CoRec - to minimize reconstruction traffic. CoRec not only enables all rebuilding nodes to collaboratively reconstruct failed blocks but also limits each surviving block to be transferred over network only once. To clarify two CoRec based reconstruction schemes (i.e., CoRec-rn and CoRec-sn), we investigate two alternative reconstruction schemes (i.e., CRec and DRec). We develop reconstruction-time models, which are validated using empirical data, to estimate reconstruction performance of large-scale storage clusters and to pinpoint performance bottlenecks in the reconstruction process. We implement a proof-of-concept prototype where the four reconstruction schemes are quantitatively evaluated. Experimental results show that CoRec-rn and CoRec-sn significantly reduce the reconstruction time of CRec and DRec. In a real-world 9-node storage cluster, CoRec-rn speeds up the double-node reconstruction of CRec and DRec by a factor of at least 1.72, CoRec-sn accelerates the double-node reconstruction of CRec and DRec by a factor of at least 4.76.\",\"PeriodicalId\":423007,\"journal\":{\"name\":\"2015 44th International Conference on Parallel Processing\",\"volume\":\"32 1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 44th International Conference on Parallel Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPP.2015.56\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 44th International Conference on Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPP.2015.56","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

在采用擦除编码的存储集群中,快速恢复数据可以缩短漏洞窗口期,提高存储系统的可靠性,因此加快重构过程是必不可少的。为了解决双节点和多节点故障,本文提出了一种协作重构模式——CoRec,以最大限度地减少重构流量。CoRec不仅使所有重建节点能够协作重建失败的块,而且还限制每个幸存块只能在网络上传输一次。为了明确两种基于CoRec的重建方案(即CoRec-rn和CoRec-sn),我们研究了两种替代重建方案(即CRec和DRec)。我们开发了重建时间模型,并使用经验数据验证了该模型,以估计大规模存储集群的重建性能,并查明重建过程中的性能瓶颈。我们实现了一个概念验证原型,其中四种重建方案进行了定量评估。实验结果表明,CoRec-rn和CoRec-sn显著缩短了CRec和DRec的重建时间。在真实的9节点存储集群中,CoRec-rn对CRec和DRec的双节点重构速度至少提高了1.72倍,CoRec-sn对CRec和DRec的双节点重构速度至少提高了4.76倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CoRec: A Cooperative Reconstruction Pattern for Multiple Failures in Erasure-Coded Storage Clusters
It is indispensable to speed up a reconstruction process in erasure-coded storage clusters, because a fast data recovery helps to shorten the vulnerability window while improving storage system reliability. To address double- and multiple-node failures, this paper proposes a cooperative reconstruction pattern - CoRec - to minimize reconstruction traffic. CoRec not only enables all rebuilding nodes to collaboratively reconstruct failed blocks but also limits each surviving block to be transferred over network only once. To clarify two CoRec based reconstruction schemes (i.e., CoRec-rn and CoRec-sn), we investigate two alternative reconstruction schemes (i.e., CRec and DRec). We develop reconstruction-time models, which are validated using empirical data, to estimate reconstruction performance of large-scale storage clusters and to pinpoint performance bottlenecks in the reconstruction process. We implement a proof-of-concept prototype where the four reconstruction schemes are quantitatively evaluated. Experimental results show that CoRec-rn and CoRec-sn significantly reduce the reconstruction time of CRec and DRec. In a real-world 9-node storage cluster, CoRec-rn speeds up the double-node reconstruction of CRec and DRec by a factor of at least 1.72, CoRec-sn accelerates the double-node reconstruction of CRec and DRec by a factor of at least 4.76.
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:481959085
Book学术官方微信