Wenhong Dr. Tian (Associate Professor at University of Electronic Science and Technology of China), Yong Dr. Zhao (Assoc
Optimized Cloud Resource Management and Scheduling identifies research directions and technologies that will facilitate efficient management and scheduling of computing resources in cloud data centers supporting scientific, industrial, business, and consumer applications. It serves as a valuable reference for systems architects, practitioners, developers, researchers and graduate level students.
Explains how to optimally model and schedule computing resources in cloud computing
Provides in depth quality analysis of different load-balance and energy-efficient...
Optimized Cloud Resource Management and Scheduling identifies research directions and technologies that will facilitate efficient management...