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In the era of Computational Intelligence developing rapidly, Deep Learning (DL) has gradually won acceptance from the world of Artificial Intelligence (AI) and it has been widely applied to the industry. However, the training of the network requires a considerable amount of time. For instances, the training of Convolution Neural Network (CNN) and Deep Belief Network (DBN) may take one week or even...
In order to manage the resources in cloud efficiently, ensure the performance of cloud services and reduce the power consumption, it is critical to predict the workload of virtual machines (VM) accurately. In this paper, a new approach for VM workload prediction based on deep learning was proposed. A deep learning prediction model was designed with a deep belief network (DBN) composed of multiple-layered...
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