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2009 AAG Annual Meeting, Las Vegas March 25, 2009 . Creating a Virtual Organization (VO) for Digital Earth Research. by Dr. Ming-Hsiang (Ming) Tsou Associate Professor E-mail: mtsou@mail.sdsu.edu. The Department of Geography, San Diego State University.
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2009 AAG Annual Meeting, Las Vegas March 25, 2009 Creating a Virtual Organization (VO) for Digital Earth Research by Dr. Ming-Hsiang (Ming) Tsou Associate Professor E-mail: mtsou@mail.sdsu.edu The Department of Geography, San Diego State University
What is a Virtual Organization? • Virtual Organization (a fundamental to modern computing): “enable disparate groups of organizations and/or individuals to share resources in a controlled fashion, so that members may collaborate to achieve a shared goal. ( Foster et al., The Anatomy of the Grid, Enabling Scalable Virtual Organizations, Intl. J. Supercomputer Applications, 2001, p. 5.). • Grid computing will facilitate the establishment of VOs. • Virtual Organization is utilizing Cyberinfrastructure to perform tasks. • VOs have the potential to change dramatically the way we use computers to solve problems. (similar to the web for exchanging information).
Scenario: Wildfire Spread Model (for Emergency Evacuation) A GIS spatial analyst, Ming, need to create a wildfire spread model in San Diego for emergency evacuation. He needs to obtain related map information and perform a GIS model for this task. Overlay analysis Wildfire Spread Model Ron: GIS data provider Traffic Model / Evacuation plan Ming : GIS analyst Data conversion Matt: GIS programmer
The Deployment of Dynamic Architecture GIS node: Ming.sdsu.edu GIS node: San Diego-Planning.gov Overlay analysis component Flood area Land use Buffering component Parcel rec. Roads Machine agent Geodata agent Component agent GIS node: Ron.weatherbug.COM Land use Roads Real time Weather Input Wildfire Spread Model Weather Weather GIS data GIS node: Matt-GIS. com Wildfire Spread Model : Data object 3D shading and ray tracing : GIS components (services, programs) Statistic analysis
“Scalable Virtual Organization” for Digital Earth Research (sharing data and services) Digital Earth Research Geography Dept. Intranet GIS Node: Doug GIS Node Local Network GIS Node: Ming GIS Node GIS Node GIS Node: Tina GIS Node GIS Node: Mike GIS Node: Eva GIS Node: SDSU GIS Node: UCSB GIS Node: FGDC GIS Node: SUNY
Why Digital Earth (DE) Research need Virtual Organizations ? • The Grand Challenge of GIScience (Goodchild. 2008). • Many DE research problems can not be solved by a single person or a single organization. • Dynamic Visualization of Climate Changes. • GIS Simulation for population changes. • Disaster responses and recovery.
Virtual Organization from a computer science perspective • Flexible networks of independent, globally distributed entities (individuals or institutions) that share knowledge and resources and work toward a common goal. (Ripeanu, et al., 2008, IEEE Internet Computing March/April). • A VO aggregates services and computing resources to meet the needs of a distributed user community. (shared goal) (Qi et al., 2008 IEEE Internet Computing). • Dynamic Instantiation of Community Services (Qi et al. 2008) • A container in a Web service-based system must support on-demand provisioning. (Qi et al. 2008)
Virtual Organization from a business perspective (contract) • VOs as coordinated collaborations among business entities that share common goals. Upon join the “enterprise network”, organizations must agree to a series of terms and conditions. (Aernas, et al., 2008, IEEE Internet Computing March/April) • VO can pull together sufficient resources to exploit opportunities that no organization could tackle alone. • Trust among VO members can be supported if each is transparently aware of the others’ obligations and performance. • Legal contracts. - reduce the risks of collaboration.
Example of VO: NSF Project –National Geospatial Technology Center (GeoTech Center) (semi-VO?) Adobe® Acrobat® Connect™ Pro Meeting GeoTech Center 13 Partners
Virtual Organization Criteria: • Dynamic formalizethe relationships among partners (contracts). • Resource aggregation (computing resources) • Tool integration (models, functions, services) • Dynamic creation and termination of VO • Reliable performance (Quality of Services) • Dynamic sharing relationship (a client can become a server, a server can become a client). • Discovering the relationships that exist at a particular point in time.
Challenges for Digital Earth Research VO • Efficiency (GIS models are computation-intensive) • Service isolation (quality of services), • Correctness (geospatial data accuracy in VO), • Security (sensitive geodata) • Derived from (Qi et al, 2008). • Interoperability (different data format, service formats). • Access control (user groups and privileges) • Scalability (How many participants for each VO?) • Ease of use and management (interface design) • (Coppola et al, 2008).
The uniqueness of a geospatial Virtual Organization • From the perspective of a geospatial Virtual Organization, the grid-enabled GIServices will support highly scalable operations like efficient query of geospatial resources, fast and interoperable geospatial data transfer, geospatially oriented parallel processing and powerful fault-tolerance capabilities. (Armstrong et al. 2008).
Creating VO based on today’s papers. • Virtual Geographic Environment for Pearl River Delta Air pollution Simulation (Hui Lin) • Map Impervious Surface Globally (Benjamin Tuttle) • Three Dimensional Mapping Tools (Joshua) • Water and Energy Cycle EOS House (Zhenlong Li) VOs have the potential to change dramatically the way we use computers to solve problems.
High performance grid computing: visualization, and storage resources The Future of Geospatial Cyberinfrastructure (creating multiple virtual organizations) Map Services Data Services Analysis Services High speed Internet Virtual Organizations Collaboration
Some Suggestions for Digital Earth Research: • Business community and computer science community provide a good guidance for developing VO for Digital Earth and GIScience. • Many detail implementation issues need to be solved (GIS containers, operational metadata, interoperability, etc). Some problems are “unique” for GIS and geodata. • Volunteer Geographic Information (VGI) might need to form VO with more concrete “contracts” and legal bindings for the “volunteers” to control the quality of information in VGI. • Digital Earth Research needs two types of VO – • Task-oriented VO (actual collaboration on tasks and projects) • Social networking (just sharing information)
Facebook – (from a socialnetworkto a scientific communication network) ? (or The Second Life ? Playstation-3 HOME ?)
Thank You Q & A Ming-Hsiang (Ming) Tsou E-mail: mtsou@mail.sdsu.edu