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Www.csiro.au Harmonisation of Grid and Geospatial Services Standards in the Earth and Environmental Sciences Simon Cox 1, Lesley Wyborn 2, Andrew Woolf.

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Presentation on theme: "Www.csiro.au Harmonisation of Grid and Geospatial Services Standards in the Earth and Environmental Sciences Simon Cox 1, Lesley Wyborn 2, Andrew Woolf."— Presentation transcript:

1 www.csiro.au Harmonisation of Grid and Geospatial Services Standards in the Earth and Environmental Sciences Simon Cox 1, Lesley Wyborn 2, Andrew Woolf 3, Robert Woodcock 1, Rob Atkinson 4, Joan Esterle 1 1 CSIRO Exploration and Mining 2 Geoscience Australia 3 e-Science Centre Rutherford Appleton Lab 4 Social Change Online 24 May 2005

2 Cox/2005 AGU Spring Overview e-Science / NERC Datagrid  Oceans & Atmospheres data Solid Earth and Environment community  HPC services for simulation & inversion Standards-based loosely-coupled data services  SEE Grid

3 Cox/2005 AGU Spring NERC DataGrid - data transfer e.g. Climate Science Modelling Language (CSML) ProfileFeature GridFeature ProfileSeriesFeature Focus on large datasets, simple structures  Time-series, profiles, gridded datasets  Series and collections BADC

4 Cox/2005 AGU Spring Some solid-earth e-Science/Grid projects GEON  NSF “Cyberinfrastructure” EarthByte  Sydney University/Caltech/CSIRO APAC Geosciences  Australian Partnership for Advanced Computing pmd*CRC  Cooperative Research Centre for Predictive Mineral Exploration

5 Cox/2005 AGU Spring pmd*CRC - geologic process simulations Archives Data Service

6 Cox/2005 AGU Spring Status quo: Different formats and standards Data Structures Proprietary Software Versions of Software User

7 Cox/2005 AGU Spring Open Geospatial Consortium - Web Feature Service GML WFS Server Data-source organised for custodian’s requirements Community-specific GML application language  TigerGML, LandGML, O&M, XMML, CGI-GML, ADX, GPML, CSML, MarineXML etc private  public boundary WFS Client HTML

8 Cox/2005 AGU Spring Standard transfer format allows multiple data sources WFS Client WFS Server WFS Server B WFS Server C

9 Cox/2005 AGU Spring Same format and standards User GML for geochemistry: XMML and OGC O&M XMML

10 Cox/2005 AGU Spring XMML data packet Inductively coupled mass spectrometry ICPMS Ag 0.01 1.e-8 Ag All this (and more) required to properly transmit one number!

11 Cox/2005 AGU Spring PIRSA DOIR GA Mapping client http://cgsrv3.arrc.csiro.au/seegrid/savedapps/filter Three servers, one map

12 Cox/2005 AGU Spring Report client http://www.ga.gov.au/wfs/reader/wfsGeochemReaderHome.jsp Three servers, one report

13 Cox/2005 AGU Spring One service – many uses GML-based data can be …. Rendered into a queryable map … … formatted into a report or …. … read and used by any WFS/GML enabled application Condition: community-standard data model/encoding

14 Cox/2005 AGU Spring APAC Trial Application… Interactions between discrete http-hosted services Resource Registry Service Registry Results Archive Data Management Portal Job Management Portal HPC Repository Login Job Monitor Run Simulation Edit Problem Description Local Repository Archive Search Geology S.A Geology W.A Rock Prop. N.S.W Rock Prop. W.A Observational Databases Authorization, Authentication & Audit Job Management Service Snark Service EarthByte Service User Workflow... WS-Security, SAML, Shibboleth… ebRIM, OGC Catalog Service… OGC WFS, XMML, Service Profiles… Snark Profile, GPML, XMML… Gridsphere, JSR 168 Portlets… EarthByte Profile, GPML, XMML… SRB, ebRIM… ebRIM, WSDL, UDDI… Globus, WS-RF…

15 Cox/2005 AGU Spring Fields vs. objects classic geology “Feature” viewpoint classic geophysics “Coverage” viewpoint simple data structures collated/gridded ready for analysis netCDF, HDF-EOS complex data database insertion complete feature interpretations XML documents

16 Cox/2005 AGU Spring Key Points e-Science depends on  Informational Services – to supply modelling constraints  Computational Services – to supply simulators and solvers e-Science community focus on “Grid” services  high-performance computing, PDE solvers – remote but tight connections  large datasets, data warehouses – simple data structures Geospatial community working on REST web-services  loosely-coupled, decision-support– on-demand discovery, binding and chaining,  detailed semantics – complex data-structures, community schemas

17 www.csiro.au Thank You CSIRO Exploration and Mining NameSimon Cox TitleResearch Scientist Phone+61 8 6436 8639 EmailSimon.Cox@csiro.au Webwww.seegrid.csiro.au Contact CSIRO Phone1300 363 400 +61 3 9545 2176 Emailenquiries@csiro.au Webwww.csiro.au


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