Cooperative game based bandwidth allocation mechanism in live migration of multiple virtual machines

被引:0
|
作者
Cui Y. [1 ,2 ]
Lin Y.-S. [2 ]
Li R.-Z. [2 ]
Wang Z.-M. [2 ]
机构
[1] Institute of Information Engineering, Zhengzhou University, Zhengzhou
[2] Key Lab on Information Networking, Zhengzhou University, Zhengzhou
来源
关键词
Bandwidth allocation; Cooperative game; Live migration; Nash bargaining; Virtual machine;
D O I
10.11959/j.issn.1000-436x.2016082
中图分类号
学科分类号
摘要
In IaaS cloud computing platform, live migration of virtual machines plays a significant role in resource dynamic dispatching and management. Under many scenarios, multiple virtual machines in the same server need to be moved online concurrently. Since live migration algorithm utilizes bandwidth as more as possible to send data, there is a bandwidth competition among the concurrent migration processes, which cannot guarantee the optimal allocation for the bandwidth and finally degrades the overall performance of the parallel live migration. A cooperative game based bandwidth allocation mechanism in live migration of multiple virtual machines was proposed, which models the bandwidth allocation problem as a Nash bargaining game and attains a desirable bandwidth sharing scheme that guarantees Pareto optimality. Experiment results show that the proposed method can assign the bandwidth fairly and efficiently, and improve the performance of the parallel live migration. © 2016, Editorial Board of Journal on Communications. All right reserved.
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页码:149 / 158
页数:9
相关论文
共 16 条
  • [1] Dong J.K., Wang H.B., Li Y.Y., Et al., Improving energy efficiency and network performance in IaaS cloud with virtual machine placement, Journal on Communications, 35, 1, pp. 72-81, (2014)
  • [2] Kernel based virtual machine
  • [3] Clark C., Fraser K., Hand S., Et al., Live migration of virtual machines, The Second Symposiumon Networked Systems Design and Implementation, pp. 273-286, (2005)
  • [4] Ye K., Jiang X., Ma R., Et al., VC-Migration: live migration of virtual clusters in the cloud, The ACM/IEEE 13th International Conference on Grid Computing, pp. 209-218, (2012)
  • [5] Callegati F., Cerroni W., Live migration of virtualized edge networks: Analytical modeling and performance evaluation, IEEE Workshop on Software Defined Networks for Future Networks and Services (SDN4FNS 2013), pp. 1-6, (2013)
  • [6] Liu H., Jin H., Xu C.Z., Et al., Performance and energy modeling for live migration of virtual machines, Cluster computing, 16, 2, pp. 249-264, (2013)
  • [7] Yaiche H., Mazumdar R.R., Rosenberg C., A game theoretic framework for bandwidth allocation and pricing in broadband networks, IEEE/ACM Transactions on Networking (TON), 8, 5, pp. 667-678, (2000)
  • [8] Fudenberg D., Tirole J., Game theory, (1991)
  • [9] Muthoo A., Bargaining Theory with Applications, (1999)
  • [10] Stephen B., Lieven V., Convex optimization, (2004)