Machine Learning for Cloud Management

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Product Details

Publisher,Chapman & Hall
Publication Date,
Format, Hardcover
Weight, 521.63 g
No. of Pages, 172

Machine Learning for Cloud Management explores cloud resource management through predictive modelling and virtual machine placement. The predictive approaches are developed using regression-based time series analysis and neural network models. The neural network-based models are primarily trained using evolutionary algorithms, and efficient virtual machine placement schemes are developed using multi-objective genetic algorithms. The book is ideal for researchers who are working in the domain of cloud computing--

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