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Spatial Cloud Computing A Practical Approach

Langue : Anglais

Auteurs :

Couverture de l’ouvrage Spatial Cloud Computing

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.

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.

Chaowei Yang, Qunying Huang