_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