Abstract
Cloud service centers have the problems such as untrusted virtual machines and frequent untrusted migration caused by instantaneous peak. In this paper, the trusted virtual machine is measured and the dynamic exponential smoothing prediction algorithm is used to filter the migration requests, to ensure that a trusted virtual machine will migrate at the trusted migration time. The trustworthiness of the service level agreement (SLA) for cloud services is maintained, and the efficiency of the utilization of cloud service center resources is improved.
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