A computing migration method considering privacy protection in wireless metropolitan area network environment
A wireless metropolitan area network and privacy protection technology, applied in the field of privacy protection and mobile network edge computing task planning, can solve problems such as cloud load balancing that has not taken into account user privacy protection, to reduce the risk of privacy leakage, improve load balancing, Optimum service performance
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[0112] This embodiment simulates the dynamic scheduling of computing tasks in a wireless metropolitan area network.
[0113] Such as figure 2 As shown, in the experiment, we consider the situation of 6 computing tasks, 3 clouds, and 9 access points, that is, CL={cl 1 ,cl 2 ,cl 3}, AP={ap 1 ,ap 2 ,...,ap 9},T={t 1 ,t 2 ,...,t 6}. Among them, the number of virtual machines in each cloud is 10. The information of each computing task is shown in Table 1.
[0114] Table 1 Computing task information
[0115]
[0116] It can be seen from Table 1 that t 1 and t 2 There is a data conflict between t 3 and t 5 There is a data conflict between t 4 and t 5 Execution required more resources than cl 2 Therefore, in order to ensure the smooth execution of tasks and protect the privacy of users, the initial task scheduling strategy needs to be modified.
[0117] if t 2 still in cl 1 on the implementation, then t 1 Needs to be rescheduled, can migrate to cl 2 or cl 3...
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