The success of cloud computing makes an increasing number of real-time applications such as signal processing and weather forecasting run in the cloud. Meanwhile, scheduling for real-time tasks is playing an essential role for a cloud provider to maintain its quality of service and enhance the system’s performance. In this paper, we devise a novel based scheduling mechanism in cloud computing environment to allocate real-time tasks and dynamically provision resources. The experimental results indicate that can efficiently solve the real-time task scheduling problem in virtualized clouds.
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