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 scheduling algorithms for cloud data centers and Hadoop clusters Introduces
real-world applications including business scientific and related case studies Discusses
different cloud platforms with real test-bed and simulation tools
