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Cyberinfrastructure for Environmental Observing Systems

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Cyberinfrastructure for Environmental Observing Systems Chaitan Baru Director, Science R&D San Diego Supercomputer Center – PowerPoint PPT presentation

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Title: Cyberinfrastructure for Environmental Observing Systems


1
Cyberinfrastructure for Environmental Observing
Systems
  • Chaitan Baru
  • Director, Science RD
  • San Diego Supercomputer Center

2
CYBERINFRASTRUCTUREWhat do we mean?
  • Technologies to bring remote resources together

e-science
Social aspect bringing multidisciplinary groups
together
3
Environmental Observing Systems
  • A major area of emphasis for NSF, and other
    agencies (e.g. GEOSS)
  • LTER, www.lternet.org
  • NEON, www.neoninc.org
  • ORION, www.orionprogram.org
  • Waters Network
  • CUAHSI HIS, www.cuahsi.org/his
  • CLEANER, cleaner.ncsa.uiuc.edu
  • EarthScope, www.earthscope.org
  • And many other efforts(NEES, www.neesinc.org),
    etc.
  • Number of established efforts at other federal
    and state agencies
  • USGS, EPA, DOE,

4
Example of a Cyberinfrastructure Project GEON
Geosciences Network (www.geongrid.org)
  • 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 and tools, 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 International Component
  • India
  • Collaboration with University of Hyderabad
  • Profs. K.V. Subbarao Arun Agarwal
  • Deploying a GEON Node at UofHyd and an
    India-based portal
  • Conducted GEON Cyberinfrastructure Workshop, Oct.
    2005
  • Recently announced as a Knowledge Networked RD
    Center by Indo-US Science and Technology Forum
  • Will partner with institutions like NGRI, INCOIS,
    Wadia Institute of Himalayan Geology (WIHG),
    Birbal Sahni Institute of Paleo-Botany (BSIPB)
  • China
  • Collaboration with Chinese Academy of Sciences,
    Beijing
  • Dr. Yaolin Shi, Director, Chinese Geodynamics
    Lab, Dr. Baopin Yan, Dir, CNIC
  • GEON Cyberinfrastructure Workshop, July 20-23,
    2006, Beijing.
  • Deploy GEON node a Linux cluster for developing
    parallel geodynamics codes
  • 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
    via GEON.

7
LiDAR Data Processing
Meeting in August with USGS EROS Data Center to
make continental-scale datasets open to NEON,
GEON, and hazards user communities
Survey
Process Classify
R. Haugerud, U.S.G.S
D. Harding, NASA
  • Current implementation
  • 32 IBM P690 1.7GHz processors, 128GB, 8TB SAN
  • 2TB point cloud data, 6B rows in database
  • 20TB orthophotos
  • Migrating to
  • 16-way Linux cluster, 64-bit Intel processors to
    support
  • Central warehouse and replicas for failover and
    load balancing, and
  • On-demand access analysis of data

Point Cloud
Interpolate/Grid
Point Cloud x, y, zn,
Courtesy Chris Crosby Prof. Ramon Arrowsmith,
Arizona State
8
NEON Infrastructure Overview
9
NEON Sensornet-level Cyberdashboard
Northeast
Mid Atlantic
Southeast
Atlantic Neotropical
Great Lakes
Prairie Peninsula
Appalachians / Cumberland Plateau
Ozarks Complex
Northern Plains
Central Plains
Southern Plains
Northern Rockies
Southern Rockies / Colorado Plateau
Desert Southwest
Great Basin
Pacific Northwest
Pacific Southwest
Tundra
Taiga
Pacific Neotropical
10
(No Transcript)
11
Sensornet Software Stack
Courtesy Tony Fountain, Neil Cotofana, SDSC
12
E.g. NEON Site SensorNet Logical Infrastructure
User (BioPDA)
User (web)


Sensor MicroNet (e.g. Soil)



Sensor MicroNet (e.g. Climate)
Courtesy Tony Fountain, Neil Cotofana, SDSC
13
(No Transcript)
14
Opportunities
  • Exploit national high-speed networking, e.g.
    Garuda, to ensure easy and efficient access to
    online (cyber) resources
  • Leverage GEON cyberinfrastructure in
    collaboration with UofHyd/UCSD
  • Keep in step with NEON cyberinfrastructure
  • Provide well-defined interfaces to metadata,
    data, and instruments
  • Create a true collaboration between scientists
    and computer scientists and IT researchers
  • Promote e-science
  • Engage the next generation of scientists
  • Lobby for NSF-India office (similar to NSF
    Beijing)

15
Thanks!
16
Data, Informatics and Cyberinfrastructure
integration
17
NEON Visualization and Forecasting
Facility
Visualization Displays (Synthesis Center)
Internet 2
NEON Data Center
Compute Cluster w/ disk
Data from NEON District-level PoPs
Processing nodes
. . .
. . .
Geographically Remote archival copy
SAN
Raw data, Derived products
Archival Storage
18
NEON Cyberdashboard (Portal)
  • NEON Portal provides
  • Authenticated access to NEON sensor data,
    metadata, and derived prodcuts Web services
    sensor command and control
  • Access to NEON forecasts and models via
    scientific workflow environments
  • Data and map integration capability
  • Visualization and GIS mapping

19
A Proposed Open Systems Sensor Network Software
Stack
Courtesy Tony Fountain, Neil Cotofana, SDSC
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