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The data services, computing resources, and end users are globally distributed and dynamic. Spatial Cloud Computing should consider maintaining and utilizing the information of the locality, capacity, volume, and quality of data, services, computing, and end users to optimize could computing and geospatial science and applications using spatiotemporal principles.

Cloud computing is becoming the next generation IT solution for saving resources and conducting green computing. Government agencies are investigating cloud computing for their information technology needs in the following years. Cloud computing has the following five characteristics (NIST 2010): a) on-demand self service for automatically provisioning computing capabilities as needed, b) broad network access for interoperable and Internet availability, c) resource pooling for computing resources with location independence, d) rapid elasticity for resource allocation, and e) measured service for automatically controlling and optimizing resources. These characteristics have intrinsic relationships with geospatial technologies: 1) they have demonstrated an infrastructure to meet computing needs of GIS and geospatial domain sciences, and 2) the implementation of the characteristics will require us to best optimize cloud computing by considering the spatial awareness of end user distribution and computing resources, including servers, network bandwidth, data location. We employ the term of Spatial Cloud Computing (SCC) to capture these relationships and characteristics. Pioneering projects are being conducted to investigate how geospatial applications can leverage cloud computing for provide reliability and scalability. For example, Microsoft is utilizing Azure Platform as a Service (PaaS) to support Earth, Environment, and Energy program within its external research. FGDC is conducting the GeoCloud Sandbox initiative with multiple agencies to develop common geospatial Platform as a Service (PaaS) solution. NASA is conducting Infrastructure as a Service (IaaS), spatial cloud computing and Data as a Service (DaaS) to investigate how cloud computing can be utilized for geospatial sciences and how to use geospatial principles to optimize cloud computing for serving a variety of dynamic user requirements.

NEWS

Call for paper: Spatial Cloud Computing (SCC) Special Issue to be published with International Journal of Digital Earth (IJDE)

  • Page Last Updated: 04/25/2011