Spatial Cloud Computing

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A01=Chaowei Yang
A01=Qunying Huang
advanced geoscience research
amazon
Amazon AWS
Amazon EC2
Amazon Elastic Block Store
Apache HTTP Server
ArcGIS Online
ArcGIS Server
Author_Chaowei Yang
Author_Qunying Huang
Average Cpu Utilization
AWS Service
azure
Category=UTC
Cloud Computing
Cloud Consumers
Cloud cost model
Cloud Providers
Cloud Service
cloud-based geospatial application deployment
CloudGIS
Computing Nodes
consumers
CyberGIS
Cyberinfrastructure
distributed computing systems
Distributed Le System
Dust Storm Forecasting
EBS Volume
ec2
EC2 Instances
environmental modeling techniques
eq_bestseller
eq_computing
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eq_isMigrated=2
eq_nobargain
eq_non-fiction
GeoComputation
Geoscience Applications
Geospatial Computing
geospatial data analysis
GEOSS Clearinghouse
HPC Application
machine
Open-source cloud solutions
provider
scientific cloud infrastructure
services
Simple Web Application
spatial data processing
Spatial Web Portals
Spatiotemporal optimization
SQL Azure
virtual
Virtual Machines
web
windows
Windows Azure

Product details

  • ISBN 9781466593169
  • Weight: 657g
  • Dimensions: 156 x 234mm
  • Publication Date: 04 Dec 2013
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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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.

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