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GEON: Geosciences Network

GEON: Geosciences Network. Chaitan Baru Director, Science R&D San Diego Supercomputer Center University of California, San Diego. Domain-specific Cybertools (software). Shared Cybertools (software). Distributed Resources (computation, storage, communication, etc.).

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GEON: Geosciences Network

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  1. GEON: Geosciences Network Chaitan Baru Director, Science R&D San Diego Supercomputer Center University of California, San Diego

  2. Domain-specific Cybertools (software) Shared Cybertools (software) Distributed Resources (computation, storage, communication, etc.) Integrated Cyberinfrastructure System: Meeting the needs of multiple communitiesSource: Dr. Deborah Crawford, Chair, NSF CyberInfrastructure Working Group • Applications • Geosciences • Environmental Sciences • Neurosciences • High Energy Physics … E-science DevelopmentTools & Libraries Education and Training Discovery & Innovation Middleware Services Hardware

  3. Your Specific Tools & User Apps. Shared Tools ScienceDomains Community Cyberinfrastructure Projects Friendly Work-Facilitating Portals Authentication - Authorization - Auditing - Workflows - Visualization - Analysis Adapted from: Prof. Mark Ellisman, UC San Diego DevelopmentTools & Libraries Ecological Observatories (NEON) High Enegy Physics (GriPhyN) Biomedical Informatics (BIRN) Ocean Observing (ORION) Geosciences (GEON) Earthquake Engineering (NEES) Middleware Services Hardware Distributed Computing, Instruments and Data Resources

  4. GEON Cyberinfrastructure • Funded by NSF IT Research program (~$11.5M) • Multi-institution collaboration between IT and Earth Science researchers • GEON Cyberinfrastructure provides: • Authenticated access to data and Web services • Registration of data sets, tools, and services with metadata • Search for data, tools, and services, using ontologies • Scientific workflow environment • Data and map integration capability • Scientific data visualization and GIS mapping

  5. Key Informatics Areas • Portals • Authenticated, role-based access to cyber resources: data, tools, models, model outputs, collaboration spaces, … • Data Integration • Search, discover and integrate data from heterogeneous information sources (“mediation” and “semantic integration”) • Modeling and simulation environments based on “scientific workflow” software • Users can “program” and steer computations at a higher level of programming abstraction • Share models (not only data), and support generation and sharing of provenance information • Geospatial information and Geographic Information Systems (GIS) • Spatial statistics, spatiotemporal data mining • Visualization of 2D, 2.5D, 3D, 4D data, and multidimensional information spaces

  6. GEON Science Projects • Paleo Integration Project • Integrated access to paleogeography, paleobiology, geochronology databases and services • LiDAR Integration Project • Development of a national framework for LiDAR data management. Integration of LiDAR products with other geophysics datasets. • Geophysics Integration Project • Integration of gravity and magnetic data with seismic modeling programs, for developing models for crustal structure. Could include geodynamics models.

  7. Analyze/ Interpret LiDAR Workflow Meeting in August with USGS EROS Data Center to make continental-scale datasets open to GEON and other user communities (NEON, hazards, …) Survey Process & Classify • Current implementation • 32-way IBM multiprocessor, 128GB, 8TB SAN • ~2TB point cloud data, ~6B rows in database • ~20TB orthophotos • Migrating to… • 16-way Linux cluster, 64-bit Intel processors • Central warehouse + replicas for failover and load balancing • Provide national framework for • On-demand access & analysis of LiDAR and other remote sensing data R. Haugerud, U.S.G.S D. Harding, NASA Collaboration with AIST, Japan on ASTER and other remote sensing datasets Point Cloud Interpolate/Grid Point Cloud x, y, zn, … Courtesy: Chris Crosby & Prof. Ramon Arrowsmith, Arizona State

  8. International GEON (iGEON): India • Collaboration with University of Hyderabad • Prof. K.V. Subbarao, Professor-in-Charge, Center for Earth and Space Sciences • Prof. Arun Agarwal, Professor-in-Charge, Center for Modeling, Simulation, and Design & Head, Department of Computer Science • Conducted GEON Cyberinfrastructure Workshop, following PRAGMA meeting, Oct. 2005, Hyderabad • iGEON-India recently funded as a Knowledge Networked R&D Center, by the Indo-US Science and Technology Forum • Deploy GEON Node at UofHyd and an India-based portal • Continue GEON Cyberinfrastructure workshops • Partner with Indian geoscience institutions, including: • National Geophysical Research Institute, National Remote Sensing Agency, Indian National Center for Ocean Information Systems, Wadia Institute of Himalayan Geology, Birbal Sahni Institute of Paleo-Botany

  9. International GEON (iGEON): Japan • Collaboration with AIST, Tokyo • Dr. Satoshi Sekiguchi • Initiating a GEOGrid in Japan. Inauguration in early October, 2006 • Will make various remote sensing data available using GEON technologies, and via GEON

  10. Opportunities for iGEON-China • Deploy GEON node in China • Share data sets from China • From agencies as well as individual PI’s—by registering them into GEON • Use iGEON-China as a way to bring together activities within China • Share Geoscience tools and applications • Make tools and applications developed by Chinese research community available as Web/Grid services for remote access • Share Grid computing resources

  11. Thanks!

  12. How do we combine data, knowledgeand information management with simulation and modeling? Applications: Medical informatics, Biosciences, Ecoinformatics,… Visualization How do we represent data, information and knowledge to the user? Data Mining, Simulation Modeling, Analysis, Data Fusion How do we detect trends and relationships in data? Knowledge-Based Integration Advanced Query Processing How do we obtain usableinformation from data? Grid Storage Filesystems, Database Systems How do we collect, accessand organize data? How do we configure computer architectures to optimally support data-oriented computing? High speed networking Networked Storage (SAN) sensornets instruments Storage hardware HPC Data, Informatics and Cyberinfrastructure

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