期刊文献+

分布式镜像存储环境下的虚拟机快速部署算法 被引量:3

Fast Virtual Machine Deployment Algorithm in Image Distribution Network
下载PDF
导出
摘要 在云计算资源分配问题的研究中,云计算环境下数据中心面临的一个重要问题是如何缩短虚拟机的部署耗时。在虚拟机的部署过程中,镜像分发占用的时间最长,为解决上述问题,对镜像的存储方式进行了优化,提出了区块级别的分布式镜像存储。在上述分布式存储环境下,镜像分发的耗时与映射结果紧密相关,首次研究了分布式镜像存储环境下的映射问题,建模为"线性0-1整数规划问题",并给出了多项式时间复杂度的解法,并进行仿真。大量仿真结果表明,改进方法能够有效的减少镜像分发的耗时,并且能保证在不同环境参数下的性能稳定。 Cloud computing centers face the key challenge of reducing the latency of deploying diverse virtual ma chines. In the deployment process, provisioning virtual machine images is the most crucial point. The prior research of the paper proposed an innovative image storing mechanism called chunk level virtual machine image distribu tion. In the distributed environment, the efficiency of provisioning images is closely associated with the result of vir tual machine placement. Therefore, we explored virtual machine placement in distributed environment for the first time, and transformed the problem into a "0 1 integer programming" problem which can be sovled with time com plexity of Polynominal time. Plenty of evaluations show that the proposed placement algorithm can shorten the latency of image provisioning, and the performance is very stable in diverse environments.
出处 《计算机仿真》 CSCD 北大核心 2014年第4期232-237,共6页 Computer Simulation
关键词 虚拟机部署 虚拟机映射 分布式镜像存储 镜像分发 数据中心网络 VM deployment VM placement VM image distribution storage Image provisioning Datacenter networks
  • 相关文献

参考文献10

  • 1C Peng, et al. VDN: Virtual machine image distribution network for cloud data centers[ C ]. INFOCOM, 2012 Proceedings IEEE. IEEE, 2012:181 - 189.
  • 2Z Chen, et al. Rapid provisioning of cloud infrastructure leveraging peer - to - peer networks [ C ]. Distributed Computing Systems Workshops, 2009.ICDCS Workshops' 09. 29th IEEE International Conference on. IEEE, 2009:324 - 329.
  • 3R Wartel, et al. Image distribution mechanisms in large scale cloud providers [ C ]. Cloud Computing Technology and Science (CloudCom), 2010 IEEE Second Intemational Conference on. IEEE, 2010:112 - 117.
  • 4M Chowdhury, et al. Managing data transfers in computer clusters with orchestra [ J ]. SIGCOMM - Computer Communication Re- view, 2011,41 (4) :98. X.
  • 5Meng, V Pappas, L Zhang. Improving the scalability of data center networks with traffic - aware virtual machine placement [ C ]. INFOCOM, 2010 Proceedings IEEE. IEEE, 2010 : 1 - 9.
  • 6H Goudarzi, M Pedram. Energy - efficient virtual machine replica- tion and placement in a cloud computing system[ C]. Cloud Com- puting (CLOUD), 2012 IEEE 5th International Conference on. IEEE, 2012:750-757.
  • 7K R Jayaram, et al. An empirical analysis of similarity in virtual machine images[ C 1. Proceedings of the Middleware 2011 Industry Track Workshop. ACM, 2011:6.
  • 8K Jin, E L Miller. The effectiveness of deduplication on virtual machine disk images[ C]. Proceedings of SYSTOR 2009: The Is- raeli Experimental Systems Conference. ACM, 2009:7.
  • 9M A1- Fares, A Loukissas, A Vahdat. A scalable, commodity da- ta center network architecture [ C ]. ACM SIGCOMM Computer Communication Review. ACM, 2008,38(4) : 63 -74.
  • 10H W Kuhn. The Hungarian method for the assignment problem [J]. Naval research logistics quarterly, 1955,2 ( 1 - 2 ) : 83 -97.

同被引文献31

引证文献3

二级引证文献27

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部