E-Book, Englisch, 357 Seiten
Yang / Huang Spatial Cloud Computing
1. Auflage 2013
ISBN: 978-1-4665-9317-6
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
A Practical Approach
E-Book, Englisch, 357 Seiten
ISBN: 978-1-4665-9317-6
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)
An exploration of the benefits of cloud computing in geoscience research and applications as well as future research directions, Spatial Cloud Computing: A Practical Approach discusses the essential elements of cloud computing and their advantages for geoscience. Using practical examples, it details the geoscience requirements of cloud computing, covers general procedures and considerations when migrating geoscience applications onto cloud services, and demonstrates how to deploy different applications.
The book discusses how to choose cloud services based on the general cloud computing measurement criteria and cloud computing cost models. The authors examine the readiness of cloud computing to support geoscience applications using open source cloud software solutions and commercial cloud services. They then review future research and developments in data, computation, concurrency, and spatiotemporal intensities of geosciences and how cloud service can be leveraged to meet the challenges. They also introduce research directions from the aspects of technology, vision, and social dimensions.
Spatial Cloud Computing: A Practical Approach a common workflow for deploying geoscience applications and provides references to the concepts, technical details, and operational guidelines of cloud computing. These features and more give developers, geoscientists, and IT professionals the information required to make decisions about how to select and deploy cloud services.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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
