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.
9780367622565
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