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Machine learning for cloud management

By: Kumar, Jitendra [ed.].
Contributor(s): Singh, Ashutosh Kumar [ed.] | Mohan, Anand [ed.] | Buyya, Rajkumar [ed.].
Publisher: Boca Raton : CRC Press, 2022Description: xvi, 182 p.; ill., (charts), 26 cm.ISBN: 9780367622565.Subject(s): Machine learning | Cloud computing | Auto regressive moving average | Black-hole algorithm | Differential evolution | Error prevention scheme | Mean squad error | Error range prediction | Self directed learning | Workload prediction | Neural networkDDC classification: 004.6782 Summary: 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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Books 004.6782 KUM (Browse shelf) Available 033852

Includes bibliographical references and index.

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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