Spatial Cloud Computing how could geographers use and help to shape - - PowerPoint PPT Presentation

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Spatial Cloud Computing

how could geographers use and help to shape cloud computing? Chaowei Phil Yang, Co-Director

Center of Intelligent Spatial Computing for Water/Energy Sciences Associate Professor, Geography and GeoInformation Science George Mason Univ., Fairfax, VA, 22030-4444 http://cisc.gmu.edu/ http://cpgis.gmu.edu/homepage/

Geographic Science Information Workflow

IT Characteristics:

Data Intensity Computing Intensity Concurrent Access Intensity, and Spatiotemporal Intensity

Data Intensity

An example with NASA Data as a Service

Computing Intensity

An example with Dust storm forecasting

Concurrent Intensity

An example with GEOSS Clearinghouse

Spatiotemporal Intensity

example with near real-time routing

A metropolitan region such as D.C., static routing

• 86697 nodes, 204201 links
• 86697*86696 potential OD (origin and destination)
• Fixed best route for each OD request pair
• All of the routing solutions data volume <1 Gb

Dynamic real time routing, keep historical data

• Changes every minute for each link and node.
• Volume increases by 24X60 = 1.3k for a daily basis
• 24x60x7 = 10k for a weekly basis
• 24x60x365 = 0.5 M for a yearly basis

More important, there’s no algorithm to handle this problem practically yet

Spatial Cloud Computing

Spatial Cloud Computing refers to the computing paradigm that is driven by geospatial sciences, and

• ptimized by spatiotemporal principles for enabling

geospatial and other science discoveries within distributed computing environment.

Yang C., Goodchild M., Huang Q., Nebert D., Raskin R., Xu Y., Bambacus M., Fay D., 2011 (in press), Spatial Cloud Computing: How geospatial sciences could use and help to shape cloud computing? International Journal on Digital Earth

Spatial Cloud Computing Architecture

Spatial Cloud Computing Issues

• 1. Spatiotemporal principle mining and extracting
• 2. Important Digital Earth & complex geospatial

science and applications

• 3. Supporting the SCC characteristics
• 4. Security
• 5. Citizen and social science issues: Trustworthy,

Privacy, Ethical, etc.

Acknolwedgements

Partially supported by

• NASA (NNX07AD99G and SMD-09-1448),
• FGDC (G09AC00103), and
• Microsoft Research Connection’s Earth, Energy, and

Environment Program.

Discussed with colleagues from

• NASA
• FGDC/USGS
• EPA
• GSA
• Microsoft
• ESIP
• AAG CISG
• CPGIS
• UCGIS
• ISDE