首页> 外文会议>International Conference on Computer, Communications, and Control Technology >Comparison of disk I/O power consumption in modern virtualization
【24h】

Comparison of disk I/O power consumption in modern virtualization

机译:现代虚拟化中磁盘I / O功耗的比较

获取原文

摘要

In Cloud Computing, the topic about hypervisors is the key research as it concerns management of physical resources and deployment virtual machines. Currently, modern hypervisors obtain new features to increase their performance under different architectures. Cloud data centers start to adopt techniques for power consumption management that can reduce the power, and meanwhile maintain the performance. In this paper, we investigate on the power consumption and performance issues concerning memory and disk I/O, comparing two open-source virtualization platforms: Xen and Kernel-based Virtual Machine (KVM). We compare Xen with raw disk and KVM's different disk I/O types, including the write through, write back and none modes with the block sizes of 8, 64 and 128 KB, relating to web downloading and database query workload. The results show that the KVM write back mode can reduce about a half (56%) of power consumption comparing to Xen with raw disk when writing files and the KVM write through mode with page cache can reduce power consumption to about 3% of that consumed by Xen with raw disk when reading files. In case of performance, the speed of KVM when page cache can increase to about 26 times faster than the speed of Xen with raw disk. In case of memory, the VM's power consumption is rather steady even when the memory usage varies.
机译:在云计算中,有关虚拟机管理程序的主题是关键研究,因为它涉及物理资源和部署虚拟机的管理。当前,现代虚拟机管理程序获得了新功能,以提高其在不同架构下的性能。云数据中心开始采用功耗管理技术,可以降低功耗并保持性能。在本文中,我们研究了有关内存和磁盘I / O的功耗和性能问题,并比较了两个开源虚拟化平台:Xen和基于内核的虚拟机(KVM)。我们将Xen与原始磁盘和KVM的不同磁盘I / O类型进行比较,包括写入,写入和无模式,其块大小分别为8、64和128 KB,这与Web下载和数据库查询工作量有关。结果表明,在写入文件时,与使用原始磁盘的Xen相比,KVM回写模式可以减少大约一半(56%)的功耗,而具有页面缓存的KVM直写模式可以将功耗减少到大约3% Xen用原始磁盘读取文件时。在性能方面,页面缓存时的KVM速度可以比原始磁盘Xen的速度快26倍。如果使用内存,则即使内存使用情况发生变化,VM的功耗也会相当稳定。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号