Abstract
In order to improve the efficiency of virtualization of data center and to reduce the cost of computation migration, this paper studies all kinds of virtualization solutions and migration strategies to make a comprehensive comparison and propose a kind of p-order autoregressive prediction model. This model can plan the three important indicators as a whole, namely: CPU, memory and network bandwidth, so as to make comprehensive optimization for virtual system computation migration, which can design a virtualization plan for data center, thus this plan can be effective for data center storage system’s upgrading, which also can improve the utilization rate of CPU, memory as well as network bandwidth token the data center of transportation department of Guizhou province as an example, the feasibility and effectiveness of the proposed scheme can be proved.
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Acknowledgement
This work is financially supported by the Zheng-Xiao-Hang-Qi project of Dongguan Polytechnic (ZHENG201607, ZXHQ201505), and by the project of science and technology for social development in Dongguan City in 2013 (No. 2013108101045), and by the key teaching reform project of Dongguan Polytechnic (No. JGZD1639).
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Jiang, W., Zhong, Y., Cao, W., Li, S. (2017). An Improved Virtualization Resource Migration Strategy and Its Application in Data Center. In: Xhafa, F., Patnaik, S., Yu, Z. (eds) Recent Developments in Intelligent Systems and Interactive Applications. IISA 2016. Advances in Intelligent Systems and Computing, vol 541. Springer, Cham. https://doi.org/10.1007/978-3-319-49568-2_30
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DOI: https://doi.org/10.1007/978-3-319-49568-2_30
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