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Correlation-based virtual machine migration in dynamic cloud environments

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Abstract

Virtual machine (VM) migration enables flexible and efficient resource management in modern data centers. Although various VM migration algorithms have been proposed to improve the utilization of physical resources in data centers, they generally focus on how to select VMs to be migrated only according to their resource requirements and ignore the relationship between the VMs and servers with respect to their varying resource usage as well as the time at which the VMs should be migrated. This may dramatically degrade the algorithm performance and increase the operating and the capital cost when the resource requirements of the VMs change dynamically over time. In this paper, we propose an integrated VM migration strategy to jointly consider and address these issues. First, we establish a service level agreement-based soft migration mechanism to significantly reduce the number of VM migrations. Then, we develop two algorithms to solve the VM and server selection issues, in which the correlation between the VMs and the servers is used to identify the appropriate VMs to be migrated and the destination servers for them. The experimental results obtained from extensive simulations show the effectiveness of the proposed algorithms compared to traditional schemes in terms of the rate of resource usage, the operating cost and the capital cost.

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Acknowledgments

This work is supported in part by the 973 Program under Grant No. 2013CB329103, the 863 Program under Grant No. 2015AA016102, the National Natural Science Foundation of China under Grant No. 61271171, and the Open Foundation of State Key Laboratory of Networking and Switching Technology under Grant No. SKLNST-2014-1-09, and the Ralph E. Powe Junior Faculty Enhancement Award from Oak Ridge Associated Universities.

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Authors and Affiliations

  1. School of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Liu Liu, Shaoping Zheng, Hongfang Yu & Du Xu

  2. Department of Computer Science, The College at Brockport, State of University of New York, Brockport, NY, 14420, USA

    Vishal Anand

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  1. Liu Liu
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  2. Shaoping Zheng
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  3. Hongfang Yu
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  4. Vishal Anand
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  5. Du Xu
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Correspondence to Liu Liu.

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Liu, L., Zheng, S., Yu, H. et al. Correlation-based virtual machine migration in dynamic cloud environments. Photon Netw Commun 31, 206–216 (2016). https://doi.org/10.1007/s11107-015-0539-6

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