Integration of machine learning and metaheuristic approaches enables advanced optimization of cloud data center resources
Focuses on virtual machine placement and migration techniques to improve application performance and reliability
Discusses fault tolerant mechanisms for enhanced cloud data center resilience
Explores dynamic and scalable resource scheduling to maximize energy efficiency
Provides insights into data center resource management and load balancing using machine learning techniques
Summarized by Shop
This book focuses on the current trends in research and analysis of virtual machine placement in a cloud data center. It discusses the integration of machine learning models and metaheuristic approaches for placement techniques. Taking into consideration the challenges of energy-efficient resource management in cloud data centers, it emph