Kumar, Jitendra

Machine learning for cloud management - Boca Raton : CRC Press, 2022 - xvi, 182 p.; ill., (charts), 26 cm

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.


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 network

004.6782 / KUM

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