Presentation about scenz-grid vision for GI-Forum

1. The use of WPS in a Science Collaboration Environment implementation of a Greenhouse Gas Emissions model

2. Topics Introduce Landcare Research Our Vision Architecture Model implementation Closing thoughts Previous slide: Cloud Gate, Chicago. Photo: Niels Hoffmann

3. Manaaki Whenua - Manaaki Tangata care for the land - care for the people http://www.landcareresearch.co.nz Sustaining biodiversity & restoration Sustaining land environments Sustaining business & living Climate change Maori sustainable futures Weeds, pests and diseases Capability and collaboration Landcare Research Manaaki Whenua Key outcomes Cross-cutting outcomes Underpinning strengths

4. LRIS: Land Resource Information System 1978-2008+ NZLRI NZLRI NSD Soil DB S-map Soil DB : National Coverage of Environmental Data at 1:50:000 to 15m resolution : Leading the Implementation of geospatial web-delivery in NZ S-Map soil NZLRI ECOSAT veg Curvature horiz Curvature perp Curvature slope S-map Landform Elements S-map siblings S-map pedo-func S-map variability Height Aspect Slope FSL:Phys FSL:Chem FSL:Wet FSL:Env NZEEM Soil loss tons/ha/yr ECOSAT fPAR ECOSAT Woody ECOSAT Indig. Forest PinRadGrow FertReq StockCCap LUNZ & LENZ Rock Slope Soil Erosion Veg LUC

5. Observations Data and Computational pressure: NOW – 25m national data density NEAR FUTURE – sub 5m national data density with significant peri-urban sub 1m LIDAR data density Modelling environment NOW – essentially batch oriented & 2.5D DESIRED – interactive 4D, with real-time visualisation feedback Managed data NOW – preserve the data, memorise the model DESIRED – keep the model for on-demand re-use

6. The Vision: SCENZ-Grid SCE NZ-Grid proposes that we can: Do science research on-line together Share each other’s data – not duplicate it Collaboratively develop & use shared models / workflows Use shared compute resources Connect researchers directly to consumers : policy / managers / educators / public

7. Phase 1: Regolith Portlet REANNZ funded project (2007-2009): GNS and Landcare Research QMAP WMS NZFSL WMS Lookup WS Portal User WF Engine User Interface View Portlet WebService WorkFlow Engine Model Kepler Mono / Java class Web Services Data: WMS Business Logic: SOAP

8. Phase 2: Platform FRST Backbone funding and BeSTGRID integration (2009-)

10. WPS Geoserver Globus / Grisu ~1.16 TFLOPS Air cooled Gb Ethernet nterconnects 4.2kW power 104 Intel Xeon cores 2.8GHz each 386GB RAM 2.6TB storage

11. WPS Extensions: Computation - Collaboration WPS – G Current: Unicore, Gridgain Planning to implement Grisu => waiting for release v3 WPS – T Started porting to Apache ODE 80% complete, need to refactor the execute part to use the new(er) architecture

12. LCR Algorithm Repository LCR (Landcare Research) Specific algorithms Raster implementations: Emissions Modeling Landcare repository Sextante repository

21. No easy solution for splitting (spatial) problems

22. split/merge might still be the bottleneck

23. Questions ? [email_address] Milford Sound, NZ. Photo: Niels Hoffmann