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Consider the Research of Virtual Machine Co-Location on Cloud Computing Plat-form

Consider the Research of Virtual Machine Co-Location on Cloud Computing Plat-form

Shengchao Xu

School of Date Science Huashang College, Guangdong University of Finance & Ecnomics, Guangzhou, 511300, China


Abstract: The traditional virtual machine co-stationing method adopts the principle of delay change of virtual machine grouping. The sensitivity of co-stationing processing is low, resulting in low co-stationing coverage rate and low co-stationing accuracy. Aiming at the above problems, a virtual machine co-resident method considering cloud computing platform is studied. After constructing the hidden channel in the cloud computing environment, the decision standard of virtual machine co-location is established. By solving the maximum concurrence probability of virtual machine and combining the criteria of concurrence determination, the concurrence probability of virtual machine is realized. In the comparative simulation experiment, it is verified that compared with the stationed method, the accuracy of the proposed method is improved by 13.46%, and the coverage of the latter is larger.

Keywords: Cloud computing platform; Virtual machine in residence; Concealed channel; Virtual machine flooding