Buch, Englisch, 357 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 567 g
A Practical Approach
Buch, Englisch, 357 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 567 g
ISBN: 978-1-138-07555-9
Verlag: CRC Press
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
Part I Introduction to Cloud Computing for Geospatial Domains. Why Cloud Computing. Cloud Computing Concepts, Characteristics and Architecture. Enabling Technologies. Spatial Cloud Computing. Part II Cloud Computing Deployment. How to use cloud computing?. Cloud Computing Cost Model: How to choose cloud Computing?. Cloud Enable Applications. Part III Cloud Enabling Geosciences Projects. Cloud-Enable GEOSS Clearinghouse. Cloud-Enable Climate@Home. Cloud-Enable Dust Storm Forecasting. Part IV Cloud Computing Status and Readiness. Commercial Cloud Computing Platforms. Readiness of Cloud Computing Platforms. Open Source Cloud Computing Solutions. Readiness of Open Source Cloud Computing Resources. GeoCloud Initiative. Part V Future Directions. Cloud Computing Research. Handling of Data, Computing, Concurrent and Spatiotemporal Intensities. Integrating Knowledge Reasoning and Cloud Computing to Enable Geosciences. Towards Spatial Cloud Computing. References. Index.