Spatial Cloud Computing A Practical Approach

Introduction to Cloud Computing for Geosciences
Geoscience Application Challenges to Computing Infrastructures
Challenges and Opportunities for Geoscience Applications in the 21st Century
The Needs of a New Computing Infrastructure
The Birth of Cloud Computing
The Advantages and Disadvantages of Cloud Computing for Geoscience Applications
Summary
Problems
References

Cloud Computing Architecture, Concepts, and Characteristics
Concepts
Cloud Computing Architecture
Characteristics
Service Models
Deployment Models and Cloud Types
Review of Cloud Computing Resources
Summary
Problems
References

Enabling Technologies
Hardware Advancements
Computing Technologies
Virtualization
Distributed File System
Web x.0
Conclusion
Summary
Problems
References

Deploying Applications onto Cloud Services
How to Use Cloud Computing
Popular Cloud Services
Use Case: A Simple Web Application
Deploying the Web Application onto Cloud Services
Conclusion and Discussion
Summary
Problems
References

Cloud-Enabling Geoscience Applications
Common Components for Geoscience Applications
Cloud-Enabling Geoscience Applications
Use Cases
Summary
Problems
References

How to Choose Cloud Services: Toward a Cloud Computing Cost Model
The Importance and Challenges of Selecting Cloud Services
The Factors Impacting Cloud Service Selection
Selecting Cloud Services Using the Earth Science Information Partners (ESIP) Cloud Adoption Advisory Tool as an Example
In-Depth Considerations in Cloud Service Selection and the Development of Advisory Tools
Summary
Problems
References

Cloud-Enabling Geoscience Projects
ArcGIS in the Cloud
Introduction
ArcGIS in the Cloud
Use Cases
Summary
Problems
References

Cloud-enabling GEOSS Clearinghouse
GEOSS Clearinghouse: Background and Challenges
System Demonstration
Conclusion
Problems
Appendix 8.1 Template for Creating an Auto-Scaling Function
References

Cloud-enabling Climate@Home
Climate@Home: Background and Challenges
Deployment and Optimizations
System Demonstrations
Conclusion
Summary
Problems
Appendix 9.1 E4M20a_000040_wu.xml
Appendix 9.2 Climateathome_re.xml
References 159

Cloud-Enabling Dust Storm Forecasting
Dust Storm Modeling: Background and challenges
Deployment and Optimization
Demonstration
Conclusion
Summary
Problems
References

Cloud Computing Status and Readiness
Cloud Services
Introduction to Cloud Services
Amazon Web Services (AWS)
Windows Azure
Nebula
Conclusion
Summary
Problems
References

How to Test the Readiness of Cloud Services
Introduction
Test Environment
Concurrent Intensity Test Using GEOSS Clearinghouse (CLH)
Data and Computing Intensities Test Using Climate@Home
Cloud Test Using Dust Storm Forecasting
Summary
Problems
Appendix 12.1: GetRecords example to search metadata
Appendix 12.2: Example of Jmeter test plan
References 221
Contents xiii

Open-Source Cloud Computing Solutions
Introduction to Open-Source Cloud Computing Solutions
CloudStack
Eucalyptus
OpenNebula
Nimbus
Open-Source Benchmarking Considerations
Conclusion
Summary
Problems
References

How to Test the Readiness of Open-Source Cloud Computing Solutions
Introduction
Test Environment
Tests of Cloud Operations
Tests of Virtual Computing Resources
Cloud Readiness Test for GEOSS Clearinghouse
Cloud Readiness Test for Dust Storm Forecasting
Summary
Problems
Appendix 14.1 Ubench Patch File (Ubench-Patch.Txt)
References

GeoCloud initiative
Introduction
GeoCloud Architecture
GeoCloud Activities
GeoCloud Security
Operational Cost in the Cloud
Discussion
Summary
Problems
References

Future Directions
Handling Intensities of Data, Computation, Concurrent Access, and SPATIOTEMPORAL PATTERNS
Introduction
Big Data
Computing Intensity
Concurrent Intensity
Spatiotemporal Intensity
Summary
Problems
References

Cloud Computing Research for Geosciences and Applications
Evolving 21st Century Vision for Geoscience Applications
Technological Advancements
Synergistic Advancement of Social Science and Cloud Computing
Summary
Problems
References
Index

Biography

Chaowei Yang, Qunying Huang

"…presents a complete picture of advanced spatial cloud computing in the discipline of geosciences. … The authors succeed in delivering a fairly clear comparison and explanation of various cloud computing technologies via several concrete experimental examples, which also helps illustrate the power of cloud computing. … I strongly recommend it …"
—Tong Zhang, Wuhan University, China

"this book challenges this apocalyptic reading of Virilio’s work, suggesting that – while he doesn’t provide us with easy solutions to the problems we face – the political force in Virilio’s work comes from the questions he leaves us with about speed, security and global politics in times of crisis, terror and fear. … This book will be of interest to students of critical security studies, political theory, sociology, political geography, cultural studies and IR in general."
—NeoPopRealism Journal & Wonderpedia, March 2013