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A Wide Range of Scientific Disciplines Will Require a Common Infrastructure

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NIH's Biomedical Informatics Research Network. Common Needs ... Biomedical Informatics. Research Network (BIRN) NIH Plans to Expand. to Other Organs ... – PowerPoint PPT presentation

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Title: A Wide Range of Scientific Disciplines Will Require a Common Infrastructure


1
A Wide Range of Scientific DisciplinesWill
Require a Common Infrastructure
  • Example--Two e-Science Grand Challenges
  • NSFs EarthScopeUS Array
  • NIHs Biomedical Informatics Research Network
  • Common Needs
  • Large Number of Sensors / Instruments
  • Daily Generation of Large Data Sets
  • Data is on Multiple Length and Time Scales
  • Automatic Archiving in Distributed Federated
    Repositories
  • Large Community of End Users
  • Multi-Megapixel and Immersive Visualization
  • Collaborative Analysis From Multiple Sites
  • Complex Simulations Needed to Interpret Data

2
NSFs EarthScope--USArray
  • Resolution of Crust Upper Mantle Structure to
    Tens of kms.
  • Transportable Array
  • Fixed Design Broadband Array
  • 400 Broadband Seismometers
  • 70 Km Spacing
  • 1500 X 1500 Km Grid
  • 2 Year Deployments at Each Site
  • Rolling Deployment Over More Than 10 Years
  • Permanent Reference Network
  • GSN/NSN Quality Seismometers
  • Geodetic Quality GPS Receivers
  • All Data to Community in Near Real Time
  • Bandwidth Will Be Driven by Visual Analysis in
    Federated Repositories

Source Frank Vernon (IGPP SIO, UCSD)
3
Rollout Over 14 Years Starting With Existing
Broadband Stations
4
Federated Repositories Are Needed to Link Brain
Multi-Scale Structure and Function
  • Filling Information Gaps with Advanced 3 4D
    Microscopies and New Labeling Technologies
  • Leveraging on Advances in Computational
    Capabilities
  • Electron Tomography Over Multiple Scales

Source Mark Ellisman, UCSD
5
NIH is Funding a National-Scale Grid Federating
Multi-Scale Biomedical Data
Biomedical Informatics Research Network (BIRN)
NIH Plans to Expand to Other Organs and Many
Laboratories
Part of the UCSD CRBS Center for Research on
Biological Structure
National Partnership for Advanced Computational
Infrastructure
6
Similar Needs for Many Other e-Science Community
Resources
LHC
ATLAS
7
A LambdaGrid Will Be the Backbone for an
e-Science Network
Apps Middleware
  • Metro Area Laboratories Springing Up Worldwide
  • Developing GigE and 10GigE Applications and
    Services
  • Testing Optical Switches
  • Metro Optical Testbeds-the next GigaPOP?

Clusters
C O N T R O L P L A N E
Dynamically Allocated Lightpaths
Switch Fabrics
Physical Monitoring
8
Campus Laboratory LambdaGrid On-Ramps are
Needed to Link to MetroGrid
  • TND2 Datamining Clusters at NU and UIC Lab. for
    Advanced Computing
  • 32 Deerfield processors with 10GigE networking
    each, NetRam storage
  • TNV2 Visualization Clusters at NU and UIC EVL
  • 27 Deerfield processors with 10GigE networking
    each, 25 screens
  • TNC2 TeraGrid Computing Clusters at EVL
  • 32 Deerfield processors with 10GigE networking
    each

Source Tom DeFanti, EVL, UIC
9
Research Topics for Building an e-Science
LambdaGrid
  • Provide Integrated Services in the Tbit/s Range
  • Lambda-Centric Communication Computing Resource
    Allocation
  • Middleware Services for Real-Time Distributed
    Programs
  • Extend Internet QoS Provisioning Over a WDM-Based
    Network
  • Develop a Common Control-Plane Optical Transport
    Architecture
  • Transport Traffic Over Multiple User Planes With
    Variable Switching Modes
  • Lambda Switching
  • Burst Switching
  • Inverse Multiplexing (One Application Uses
    Multiple Lambdas)
  • Extend GMPLS
  • Routing
  • Resource Reservation
  • Restoration

UCSD, UCI, USC, UIC, NW
10
Research Topics for Building an e-Science
LambdaGrid
  • Enhance Security Mechanisms
  • End-to-End Integrity Check of Data Streams
  • Access Multiple Locations With Trusted
    Authentication Mechanisms
  • Use Grid Middleware for Authentication,
    Authorization, Validation, Encryption and
    Forensic Analysis of Multiple Systems and
    Administrative Domains
  • Distribute Storage While Optimizing Storewidth
  • Distribute Massive Pools of Physical RAM (Network
    Memory)
  • Develop Visual TeraMining Techniques to Mine
    Petabytes of Data
  • Enable Ultrafast Image Rendering
  • Create for Optical Storage Area Networks (OSANs)
  • Analysis and Modeling Tools
  • OSAN Control and Data Management Protocols
  • Buffering Strategies and Memory Hierarchies for
    WDM Optical Networks

UCSD, UCI, USC, UIC, NW
11
A Layered Software Architecture is Needed for
Defense and Civilian Applications
SPAWAR Systems Center San Diego
www.ndia-sd.org/docs/NDIA_20June00.pdf
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