###
DOI:
Journal of Software:2010.21(4):849-862

一种基于虚拟机的高效磁盘I/O特征分析方法
沈玉良,许鲁
(中国科学院 计算技术研究所,北京 100190;中国科学院 研究生院,北京 100049)
Efficient Disk I/O Characteristics Analysis Method Based on Virtual Machine Technology
SHEN Yu-Liang,XU Lu
()
Abstract
Chart / table
Reference
Similar Articles
Article :Browse 4110   Download 6631
Received:March 07, 2008    Revised:June 05, 2009
> 中文摘要: 于磁盘系统的机械运动本质,磁盘系统I/O往往会成为计算机系统的性能瓶颈.为了有效地提高系统性能,收集和分析应用系统的磁盘I/O特征信息将成为性能优化工作的重要基础.与以往I/O特征分析方法不同,给出了一种基于Xen 3.0虚拟机系统的磁盘I/O特征在线分析方法.在虚拟机环境下,该磁盘I/O特征采集方法可以透明地应用于任意无须修改的操作系统.该方法可以高效地在线采集多种基本I/O特征数据,其中包括:磁盘I/O块大小、I/O延迟、I/O时间间隔、I/O空间局部性、时间局部性以及磁盘I/O操作热点分布.通过测试和分析,该在线I/O分析方法有着较小的系统开销,并且对应用系统I/O性能的影响很小.此外,还给出了在大文件拷贝、基于Filebench的filemirco和varmail等工作负载下的I/O特征分析结果.
Abstract:Disk I/O may be the bottleneck in computer systems because of the mechanism characters in disk system. In order to tune the system performance effectively, the collection of the disk I/O workload characteristics will be the essential step for the performance optimization. Compared with other I/O characteristics collection methods, this paper presents an on-line I/O characteristics analysis method based on Xen 3.0 virtual machine system. In virtual machine environments, this method can be transparent to the unmodified operating system. With this method, several essential I/O characteristics metrics can be collected, such as disk I/O block size, I/O latency, I/O arrival interval, I/O spatial locality statistics, I/O time locality statistics and the I/O operation hotspot distribution. Through the testing and analysis, this method is found to have little system overhead and impact on the application system I/O performance. In addition, the I/O characteristics analysis results are demonstrated on the large file copy workload and the Filebench benchmark workload generated by the filemicro and varmail personalities.
文章编号:     中图分类号:    文献标志码:
基金项目:Supported by the National High-Tech Research and Development Plan of China under Grant No.2007AA01Z184 (国家高技术研究发展计划(863)); the National Basic Research Program of China under Grant No.2004CB318205 (国家重点基础研究发展计划(973)) Supported by the National High-Tech Research and Development Plan of China under Grant No.2007AA01Z184 (国家高技术研究发展计划(863)); the National Basic Research Program of China under Grant No.2004CB318205 (国家重点基础研究发展计划(973))
Foundation items:
Reference text:

沈玉良,许鲁.一种基于虚拟机的高效磁盘I/O特征分析方法.软件学报,2010,21(4):849-862

SHEN Yu-Liang,XU Lu.Efficient Disk I/O Characteristics Analysis Method Based on Virtual Machine Technology.Journal of Software,2010,21(4):849-862