"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 ar…
"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 ar…
Time series models -- Error preventive time series models -- Metaheuristic optimization algorithms -- Evolutionary neural networks -- Self directed learning -- Ensemble learning -- Load balancing. "Machine Learning for Cloud Management explores cloud resource management through…
"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 ar…
"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 ar…
Cloud computing offers subscription-based on-demand services, and it has emerged as the backbone of the computing industry. It has enabled us to share resources among multiple users through virtualization, which creates a virtual instance of a computer system running in an abstr…
"This book examines the application of intelligence computational techniques and methods in energy and power systems"--
"This book examines the application of intelligence computational techniques and methods in energy and power systems"--
by International Conference on Advanced Communication and Computational Technology, Kurukshetra, India), Hura, Gurdeep Singh, Singh, Ashutosh Kumar, Hoe, Lau Siong
fromLecture notes in electrical engineering