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A Live Migration Algorithm for Containers Based on Resource Locality

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A Correction to this article was published on 19 November 2019

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Abstract

With the wide application of cloud computing, the scale of cloud data center network is growing. The virtual machine (VM) live migration technology is becoming more crucial in cloud data centers for the purpose of load balance, and efficient utilization of resources. The lightweight virtualization technique has made virtual machines more portable, efficient and easier to management. Different from virtual machines, containers bring more lightweight, more flexible and more intensive service capabilities to the cloud. Researches on container migration is still in its infancy, especially live migration is still very immature. In this paper, we present the locality live migration model where we take into account the distance, available bandwidth and costs between containers. Furthermore, we conduct comprehensive experiments on a cluster. Extensive simulation results show that the proposed method improves the utilization of resources of servers, and also improves the balance of all kinds of resources on the physical machine.

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Change history

  • 19 November 2019

    The Publisher regrets an error on the printed front cover of the October 2019 issue. The issue numbers were incorrectly listed as Volume 91, Nos. 10-12, October 2019. The correct number should be: "Volume 91, No. 10, October 2019"

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Acknowledgements

The subject is sponsored by the by National Key R&D Program of China (2018YFB1003201), National Natural Science Foundation of P. R. China (No.61572337, No.61602333, No.61672296 and No.61702351), the Natural Science Foundation of Jiangsu Province (No.BK20160089), Scientific & Technological Support Project of Jiangsu Province (No.BE2016777, BE2016185), Jiangsu High Technology Research Key Laboratory for Wireless Sensor Networks Foundation (No.WSNLBKF201701).

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Authors and Affiliations

  1. School of Computer Science and Technology, Soochow University, Suzhou, 215006, Jiangsu Province, China

    Weibei Fan, Jingya Zhou & Jianxi Fan

  2. Institute of Data and Knowledge Engineering Henan University, Kaifeng, 415000, Henan Province, China

    Zhijie Han

  3. Jiangsu High Technology Research Key Laboratory for Wireless Sensor Network, Nanjing, 210000, Jiangsu Province, China

    Weibei Fan, Peng Li, Jianxi Fan & Ruchuan Wang

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  1. Weibei Fan
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  2. Zhijie Han
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  3. Peng Li
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  4. Jingya Zhou
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  5. Jianxi Fan
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Correspondence to Jianxi Fan.

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Fan, W., Han, Z., Li, P. et al. A Live Migration Algorithm for Containers Based on Resource Locality. J Sign Process Syst 91, 1077–1089 (2019). https://doi.org/10.1007/s11265-018-1401-8

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