利用集群中的空闲磁盘作为高性能存储系统

J. Hansen, Renaud Lachaiz
{"title":"利用集群中的空闲磁盘作为高性能存储系统","authors":"J. Hansen, Renaud Lachaiz","doi":"10.1109/CLUSTR.2002.1137774","DOIUrl":null,"url":null,"abstract":"In many clusters today, the local disks of a node are only used sporadically. This paper describes the software support for sharing of disks in clusters, where the disks are distributed across the nodes in the cluster, thereby allowing them to be combined into a high-performance storage system. Compared to centralized storage servers, such an architecture allows the total I/O capacity of the cluster to scale up with the number of nodes and disks. Additionally, our software allows customizing the functionality of the remote disk access using a library of code modules. A prototype has been implemented on a cluster connected by a Scalable Coherent Interface (SCI) network and performance measurements using both raw device access and a distributed file system show that the performance is comparable to dedicated storage systems and that the overhead of the framework is moderate even during high load. Thus, the prospects are that clusters sharing disks distributed among the nodes will allow both the application processing power and total I/O capacity of the cluster to scale up with the number of nodes.","PeriodicalId":92128,"journal":{"name":"Proceedings. IEEE International Conference on Cluster Computing","volume":"1 1","pages":"415-424"},"PeriodicalIF":0.0000,"publicationDate":"2002-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Using idle disks in a cluster as a high-performance storage system\",\"authors\":\"J. Hansen, Renaud Lachaiz\",\"doi\":\"10.1109/CLUSTR.2002.1137774\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In many clusters today, the local disks of a node are only used sporadically. This paper describes the software support for sharing of disks in clusters, where the disks are distributed across the nodes in the cluster, thereby allowing them to be combined into a high-performance storage system. Compared to centralized storage servers, such an architecture allows the total I/O capacity of the cluster to scale up with the number of nodes and disks. Additionally, our software allows customizing the functionality of the remote disk access using a library of code modules. A prototype has been implemented on a cluster connected by a Scalable Coherent Interface (SCI) network and performance measurements using both raw device access and a distributed file system show that the performance is comparable to dedicated storage systems and that the overhead of the framework is moderate even during high load. Thus, the prospects are that clusters sharing disks distributed among the nodes will allow both the application processing power and total I/O capacity of the cluster to scale up with the number of nodes.\",\"PeriodicalId\":92128,\"journal\":{\"name\":\"Proceedings. IEEE International Conference on Cluster Computing\",\"volume\":\"1 1\",\"pages\":\"415-424\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings. IEEE International Conference on Cluster Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CLUSTR.2002.1137774\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings. IEEE International Conference on Cluster Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CLUSTR.2002.1137774","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

在当今的许多集群中,节点的本地磁盘只是偶尔被使用。本文介绍了软件对集群中磁盘共享的支持,磁盘分布在集群中的各个节点上,从而可以组合成一个高性能的存储系统。与集中式存储服务器相比,这种体系结构允许集群的总I/O容量随着节点和磁盘的数量而扩展。此外,我们的软件允许使用代码模块库定制远程磁盘访问的功能。一个原型已经在一个由可扩展连贯接口(SCI)网络连接的集群上实现,使用原始设备访问和分布式文件系统进行的性能测量表明,该框架的性能与专用存储系统相当,并且即使在高负载情况下,该框架的开销也是适度的。因此,集群共享分布在节点之间的磁盘的前景将允许应用程序处理能力和集群的总I/O容量随着节点数量的增加而增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using idle disks in a cluster as a high-performance storage system
In many clusters today, the local disks of a node are only used sporadically. This paper describes the software support for sharing of disks in clusters, where the disks are distributed across the nodes in the cluster, thereby allowing them to be combined into a high-performance storage system. Compared to centralized storage servers, such an architecture allows the total I/O capacity of the cluster to scale up with the number of nodes and disks. Additionally, our software allows customizing the functionality of the remote disk access using a library of code modules. A prototype has been implemented on a cluster connected by a Scalable Coherent Interface (SCI) network and performance measurements using both raw device access and a distributed file system show that the performance is comparable to dedicated storage systems and that the overhead of the framework is moderate even during high load. Thus, the prospects are that clusters sharing disks distributed among the nodes will allow both the application processing power and total I/O capacity of the cluster to scale up with the number of nodes.
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