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云环境下基于冷点虚拟机迁移的热点消除方法

清华大学 辅仁网/2017-07-07

云环境下基于冷点虚拟机迁移的热点消除方法
郭军, 闫永明, 马安香, 张斌
东北大学 信息科学与工程学院, 沈阳 110819
Eliminating hot-spots based on cold-spot virtual machine migration in the cloud
GUO Jun, YAN Yongming, MA Anxiang, ZHANG Bin
School of Information Science and Engineering, Northeastern University, Shenyang 110819, China

摘要:

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摘要初始分配的虚拟机资源常常不能满足运行时服务的性能要求,导致资源利用率过高、响应时间过长等“热点”问题。为了消除热点以保障服务性能,传统方法主要包括资源扩展和虚拟机动态迁移,但还存在预留资源空间不足和虚拟机迁移代价过大等问题。针对上述问题,该文提出一种基于冷点虚拟机迁移的热点消除方法,即以冷点虚拟机为迁移对象,将其释放的资源分配给热点虚拟机,以保持热点服务的性能、降低热点消除代价,从而更好地满足服务等级协议约束,并通过实验证明该方法可行有效。
关键词 虚拟机迁移,热点消除,冷点虚拟机,服务等级协议
Abstract:Initial allocations of virtual machine(VM) resources are often unable to meet the performance requirements of runtime services, resulting in excessive resource utilization, slow response times and other "hot spot" problems. The traditional approach to eliminating these hot-spots has mainly been to include resources extensions and virtual machine live migration, but there are still problems with insufficient resources and large migration costs. The paper describes a hot-spot elimination method based on cold-spot VMs which migrates the cold-spot VM and then distributes the released resources to the hot-spot VM. This approach maintains the hot-spot service performance and reduces the cost of hot-spot elimination to better meet the SLA constraints. Tests show that this method is feasible and effective.
Key wordslive migrationhot-spot eliminatingcold-spot virtual machineservice-level agreement
收稿日期: 2016-06-30 出版日期: 2016-11-26
ZTFLH:TP311.5
引用本文:
郭军, 闫永明, 马安香, 张斌. 云环境下基于冷点虚拟机迁移的热点消除方法[J]. 清华大学学报(自然科学版), 2016, 56(11): 1232-1236.
GUO Jun, YAN Yongming, MA Anxiang, ZHANG Bin. Eliminating hot-spots based on cold-spot virtual machine migration in the cloud. Journal of Tsinghua University(Science and Technology), 2016, 56(11): 1232-1236.
链接本文:
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2016.26.017 http://jst.tsinghuajournals.com/CN/Y2016/V56/I11/1232


图表:
图1 基于冷点虚拟机迁移的热点消除过程
图2 实验拓扑结构
图3 冷点虚拟机的迁移代价指标数据
图4 传统热点虚拟机迁移的热点消除响应时间变化情况
图5 基于冷点虚拟机迁移的热点消除响应时间变化情况


参考文献:
[1] Mishra M, Das A, Kulkarni P, et al. Dynamic resource management using virtual machine migrations[J]. IEEE Communications Magazine, 2012, 50(9):34-40.
[2] Wood T, Shenoy P, Venkataramani A, et al. Sandpiper:Black-box and gray-box resource management for virtual machines[J]. Computer Networks, 2009, 53(17):2923-2938.
[3] ZHAN Zhihui, LIU Xiaofang, GONG Yuejiao, et al. Cloud computing resource scheduling and a survey of its evolutionary approaches[J]. ACM Computing Surveys, 2015, 47(4):1-33.
[4] LIU Yanbing, GONG Bo, XING Congcong, et al. A virtual machine migration strategy based on time series workload prediction using cloud model[J]. Mathematical Problems in Engineering, 2014, 2014:1-11.
[5] Rosa L, Rodrigues L, Lopes A, et al. Self-management of adaptable component-based applications[J]. IEEE Transactions on Software Engineering, 2013, 39(3):403-421.
[6] YE Kejiang, JIANG Xiaohong, HUANG Dawei, et al. Live migration of multiple virtual machines with resource reservation in cloud computing environments[C]//2011 IEEE International Conference on Cloud Computing (CLOUD). Washington, D.C., USA:IEEE Press, 2011:267-274.
[7] 赵秀涛, 张斌, 张长胜. 一种基于服务选取的SBS云资源优化分配方法[J]. 软件学报, 2015, 26(4):867-885.ZHAO Xiutao, ZHANG Bin, ZHANG Changsheng. Service selection based resource alloication for SBS in cloud environments[J]. Journal of Software, 2015, 26(4):867-885. (in Chinese)
[8] JIN Hai, GAO Wei, WU Song, et al. Optimizing the live migration of virtual machine by CPU scheduling[J]. Journal of Network and Computer Applications, 2011, 34(4):1088-1096.
[9] Shribman A, Hudzia B. Pre-copy and post-copy VM live migration for memory intensive applications[C]//European Conference on Parallel Processing. Rhodes Islands:Greece Springer-Verlag, 2012:539-547.
[10] ZHANG Wei, ZHU Mingfa, GONG Tao, et al. Performance degradation-aware virtual machine live migration in virtualized servers[C]//13th International Conference on Parallel and Distributed Computing, Applications and Technologies. Beijing, China:IEEE Press, 2012:429-435.
[11] Strunk A. Costs of virtual machine live migration:A survey[C]//IEEE Eighth World Congress on Services. Honolulu, HI:IEEE Press, 2012:323-329.
[12] Sagana C, Geetha M, Suganthe R. Performance enhancement in live migration for cloud computing environments[C]//International Conference on Information Communication and Embedded Systems (ICICES). Chennai, Indian:IEEE Press, 2013:361-366.
[13] 闫永明, 张斌, 郭军, 等. 基于模糊层次分析的虚拟机热度综合评估方法[J]. 东北大学学报:自然科学版, 2015, 36(2):182-187.YAN Yongming, ZHANG Bin, GUO Jun, et al. Virtual machine hotspot degree comprehensive evaluation method based on fuzzy analytic hierarchy process[J]. Journal of Northeastern University(Natural Science), 2015, 36(2):182-187. (in Chinese)


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