Optimized Cloud Resource Management and Scheduling

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

Table of Contents

Chapter 1 Cloud computing overview 
Chapter 2 Overview of Solutions to  Cloud Data Centers
Chapter 3 Resources Modeling and Definitions in Cloud data centers
Chapter 4 Cloud Resource Scheduling Strategies
Chapter 5 Load Balance Scheduling for Cloud Data Centers 
Chapter 6 Energy-efficient Allocation of Real-time Virtual Machines in Cloud Data Centers Using Interval-packing Techniques
Chapter 7 Energy Efficiency by Minimizing Total Busy Time of Offline Parallel Scheduling in Cloud Computing
Chapter 8 Comparative Study of Energy-efficient Scheduling in Cloud Data Centers
Chapter 9 Energy-Efficiency Scheduling in Hadoop
Chapter 10 Maximizing Total Weights in Virtual Machines Allocation
Chapter 11 A Toolkit for Modeling and Simulation of Real-time Virtual Machine Allocation in a Cloud Data Center
Chapter 12 Toward Running Scientific Workflows in the Cloud