Book description
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
- Cover image
- Title page
- Copyright
- Foreword
- Preface
- About the Authors
- Acknowledgments
-
1. An Introduction to Cloud Computing
- Main Contents of this Chapter
- 1.1 The background of Cloud computing
- 1.2 Cloud computing is an integration of other advanced technologies
- 1.3 The driving forces of Cloud computing
- 1.4 The development status and trends of Cloud computing
- 1.5 The classification of Cloud computing applications
- 1.6 The different roles in the Cloud computing industry chain
- 1.7 The main features and technical challenges of Cloud computing
- Summary
- References
- 2. Big Data Technologies and Cloud Computing
-
3. Resource Modeling and Definitions for Cloud Data Centers
- Main Contents of this Chapter
- 3.1 Resource models in Cloud data centers
- 3.2 Data center resources
- 3.3 Categories of Cloud data center resources
- 3.4 Constraints and dependencies among resources
- 3.5 Data modeling of resources in a Cloud data center
- 3.6 Conclusion
- Appendix 1: The UML Relationship of Resources
- References
-
4. Cloud Resource Scheduling Strategies
- Main Contents of this Chapter
- 4.1 Key technologies of resource scheduling
- 4.2 Comparative analysis of scheduling strategies
- 4.3 Classification of main scheduling strategies
- 4.4 Some constraints of scheduling strategies
- 4.5 Scheduling task execution time and trigger conditions
- Summary
- Appendix: Some elementary terms
- References
- 5. Load Balance Scheduling for Cloud Data Centers
- 6. Energy-efficient Allocation of Real-time Virtual Machines in Cloud Data Centers Using Interval-packing Techniques
- 7. Energy Efficiency by Minimizing Total Busy Time of Offline Parallel Scheduling in Cloud Computing
- 8. Comparative Study of Energy-efficient Scheduling in Cloud Data Centers
- 9. Energy Efficiency Scheduling in Hadoop
- 10. Maximizing Total Weights in Virtual Machines Allocation
- 11. A Toolkit for Modeling and Simulation of Real-time Virtual Machine Allocation in a Cloud Data Center
- 12. Toward Running Scientific Workflows in the Cloud
Product information
- Title: Optimized Cloud Resource Management and Scheduling
- Author(s):
- Release date: October 2014
- Publisher(s): Morgan Kaufmann
- ISBN: 9780128016459
You might also like
book
Evolutionary Computation in Scheduling
Presents current developments in the field of evolutionary scheduling and demonstrates the applicability of evolutionary computational …
book
Designing Networks and Services for the Cloud: Delivering business-grade cloud applications and services
Designing Networks and Services for the Cloud Delivering business-grade cloud applications and services A rapid, easy-to-understand …
book
ITIL® 4 Direct, Plan and Improve (DPI) - Your companion to the ITIL 4 Managing Professional and Strategic Leader DPI certification
ITIL® 4 Direct, Plan and Improve (DPI) is a study guide designed to help students pass …
book
Securing the Cloud
Securing the Cloud is the first book that helps you secure your information while taking part …