Towards Accurate Prediction for High-Dimensional and Highly-Variable Cloud Workloads with Deep Learning.
IEEE Transactions on Parallel and Distributed Systems(2020)
摘要
Resource provisioning for cloud computing necessitates the adaptive and accurate prediction of cloud workloads. However, the existing methods cannot effectively predict the high-dimensional and highly-variable cloud workloads. This results in resource wasting and inability to satisfy service level agreements (SLAs). Since recurrent neural network (RNN) is naturally suitable for sequential data ana...
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关键词
Cloud computing,Feature extraction,Recurrent neural networks,Predictive models,Data mining,Deep learning,Data centers
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