Rigel:一个可扩展的轻量级副本选择服务,用于复制分布式文件系统

Yuan Lin, Yang Chen, Guodong Wang, Beixing Deng
{"title":"Rigel:一个可扩展的轻量级副本选择服务,用于复制分布式文件系统","authors":"Yuan Lin, Yang Chen, Guodong Wang, Beixing Deng","doi":"10.1109/CCGRID.2010.51","DOIUrl":null,"url":null,"abstract":"Replicated distributed file systems are designed to store large file reliably across lots of machines, and it arouse the problem of selecting the nearest replica for clients. In this paper, we propose Rigel, a Network Coordinates (NC) based nearest replica selection service, which is an effective infrastructure to select the nearest replica for client in a scalable and lightweight way. Our simulation results have demonstrated that Rigel can at least reduce the read latency between clients and replicas by 20% when compared to the replica selection strategy in Hadoop Distributed File System.","PeriodicalId":444485,"journal":{"name":"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Rigel: A Scalable and Lightweight Replica Selection Service for Replicated Distributed File System\",\"authors\":\"Yuan Lin, Yang Chen, Guodong Wang, Beixing Deng\",\"doi\":\"10.1109/CCGRID.2010.51\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Replicated distributed file systems are designed to store large file reliably across lots of machines, and it arouse the problem of selecting the nearest replica for clients. In this paper, we propose Rigel, a Network Coordinates (NC) based nearest replica selection service, which is an effective infrastructure to select the nearest replica for client in a scalable and lightweight way. Our simulation results have demonstrated that Rigel can at least reduce the read latency between clients and replicas by 20% when compared to the replica selection strategy in Hadoop Distributed File System.\",\"PeriodicalId\":444485,\"journal\":{\"name\":\"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCGRID.2010.51\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCGRID.2010.51","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

摘要

复制式分布式文件系统是为了在多台机器上可靠地存储大型文件而设计的,它引起了为客户端选择最近副本的问题。本文提出了一种基于网络坐标(Network Coordinates, NC)的最近副本选择服务Rigel,它是一种可扩展的、轻量级的为客户端选择最近副本的有效基础架构。我们的模拟结果表明,与Hadoop分布式文件系统中的副本选择策略相比,Rigel至少可以将客户端和副本之间的读取延迟减少20%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Rigel: A Scalable and Lightweight Replica Selection Service for Replicated Distributed File System
Replicated distributed file systems are designed to store large file reliably across lots of machines, and it arouse the problem of selecting the nearest replica for clients. In this paper, we propose Rigel, a Network Coordinates (NC) based nearest replica selection service, which is an effective infrastructure to select the nearest replica for client in a scalable and lightweight way. Our simulation results have demonstrated that Rigel can at least reduce the read latency between clients and replicas by 20% when compared to the replica selection strategy in Hadoop Distributed File System.
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
期刊最新文献
In Search of Visualization Metaphors for PlanetLab Multi-criteria Content Adaptation Service Selection Broker Enabling the Next Generation of Scalable Clusters Development and Support of Platforms for Research into Rare Diseases Using Cloud Constructs and Predictive Analysis to Enable Pre-Failure Process Migration in HPC Systems
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1