Spatial Cloud Computing: A Practical Approach - Yang, Chaowei (Department of Geography and Geoinformation Science, George Mason University, Fairfax, Virginia, USA) - Knihy - Taylor & Francis Ltd - 9781138075559 - 31. marca 2017
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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.


357 pages, 20 Tables, black and white; 30 Illustrations, color; 138 Illustrations, black and white

Médium Knihy     Paperback Book   (Kniha s mäkkou väzbou a lepeným chrbtom)
Vydané 31. marca 2017
ISBN13 9781138075559
Vydavatelia Taylor & Francis Ltd
Strany 357
Rozmery 150 × 220 × 10 mm   ·   670 g
Jazyk Angličtina  

Viac od Yang, Chaowei (Department of Geography and Geoinformation Science, George Mason University, Fairfax, Virginia, USA)

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