Optimized Cloud Resource Management and Scheduling Theories and Practices [Paperback]

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

1 Cloud computing overview /1
2 Overview of Solutions to Cloud Data Centers /1
3 Resources Modeling and Definitions in Cloud data centers
5 Cloud Resource Scheduling Strategies /1
6 Load Balance Scheduling Algorithms For CDC /1
7 Energy-efficient Scheduling for Cloud Data Centers
8 Maximizing Profits of Computing Resources in CDC
9 Energy-Efficiency Scheduling in Hadoop
10 Cloud Workflow Management and Applications
11 The Design and Application of Cloud Simulators
12 Summary and Outlook

Captures the state-of-the-art in resource management and scheduling in cloud data centers

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 flS-