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Science Data Access Architectures

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Science Data Access Architectures Mike Martin 11/30/06 ... First step, look at middleware architectures. For several selected middleware architectures: ... – PowerPoint PPT presentation

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Title: Science Data Access Architectures


1
Science Data Access Architectures Mike
Martin 11/30/06
2
  • Background
  • Proposed to Ed to survey information system
    capabilities across NASA disciplines. Where are
    they now, where are they going?
  • Especially interested in capabilities and tools
    that could answer requirements in MRO User
    Scenario Document by Ray Arvidson and Jim Murphy,
    something of a PDS vision statement.
  • First step, look at middleware architectures.

3
  • For several selected middleware architectures
  • Describe how each scheme works.
  • Compare the different approaches to common
    problems.
  • Identify any exemplary or noteworthy features
    of the various schemes.
  • It quickly became apparent that there was a lot
    of excitement about Service Oriented Architecture
    (SOA) and Web Services.
  • Commoditize information and computer resources
    for autonomous consumption.
  • SOAP messages, WSDL service contracts and UDDI
    service registries.

4
  • Selected Systems include
  • Open GIS Consortiums Open Web Services (OWS),
    servers for digital maps, images and GIS data.
  • International Virtual Observatory Alliance
    (IVOA) registry and data access services for
    astrophysics data.
  • Planetary Data Systems implementation of
    Object Oriented Data Technology (PDS-OODT) for
    query, profile and product servers.
  • Earth Observing System Clearinghouse (ECHO) for
    a central catalog identifying earth science data
    and services.

5
Open Web Services (OWS)
6
International Virtual Observatory Alliance (IVOA)
7
PDS Object Oriented Data Technology (OODT)
8
EOS Clearinghouse (ECHO)
9
Feature Comparison
10
Service Summary
11
  • Highlights
  • OWS layered discovery model (GetCapabilites(),
    DescribeRecords(), GetRecords() and harvesting
    capability
  • IVOA cone search, VOTable, summer studies.
  • Web Services orientation in ECHO and IVOA.
  • Lowlights
  • No standard XML query language
  • Mixing service registry and catalog functions.

12
  • Conclusions
  • OWS - Elegant architecture. Now someone needs
    to make it work, especially the catalog servers.
  • IVOA - Great architectural vision.
    Interesting data oriented service approach.
    Seems to have widespread community support.
  • PDS-OODT - Great job implementing product
    servers, now do profile servers at every node.
    IPDA efforts are adding support for VOTable and
    GetCapabilites features.
  • ECHO - Wide range of services exposed via
    API. Still seems immature, despite being on
    Version 8. Will central spatial database be a
    success?

13
  • Next steps
  • Get feedback from you folks and others at
    tahoe_mike_at_sbcglobal.net
  • Should other schemes be included (the Grid,
    Opendap)?
  • Other analysis/observations based on this
    information?
  • Is there hope for long term convergence (earth,
    space, planetary and astrophysics all using same
    service architectures)?
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