processing services tools 4. ROI_PAC, 4. compatibility GeoServer, with other NASA GDAL, Radar systems and repositories tools (Alaska Satellite Facility) 1. Federate 1. Climate 1. Support virtual 1. needs to -- -- -- distributed Analytics as a Climate Data suupport NASA heterogeneous Service on Server (vCDS) visualize datasets Clouds 2. GPFS Parallel distributed 45 iRODS File System heterogeneous integrated with data Hadoop 3. iRODS 1. Integrate 1. Climate 1. NetCDF aware 1. high end -- -- 1. Smart phone simulation output Analytics as a software distributed and Tablet access MERRA and observational Service on 2. MapReduce visualization required data, NetCDF Clouds 3. Interoperable 2. iRODS data files Use of Amazon management 2. real time and AWS and local batch mode both clusters 46 needed 3. Interoperable Use of Amazon AWS and local clusters 4. iRODS data management 1. real time 1. MapReduce, 1. other legacy 1. visualization -- 1. validation for -- distributed SciDB, and other computing to interpret output products datasets scientific systems (e.g. results (correlations) 2. various databases supercomputer) formats, 2. continuously 2. high resolution, computing for throughput data semantics, and updates transmission over metadata 3. the network language for data 47 mining and event searching 4. semantics interpretation and optimal structuring for data mining and predictive analysis 1. ~100PB data 1. ata analytics 1. extend 1. share data with -- -- 1. phone based in 2017 close to data architecture to worldwide input and access Climate streaming at high storage several other climate 48 Studies data rates from fields 2. high end large distributed supercomputers visualization
processing services 4. ROI_PAC, GeoServer, GDAL, tools tools 4. compatibility with other NASA Radar systems and repositories (Alaska Satellite Facility) 45 NASA iRODS 1. Federate distributed heterogeneous datasets 1. Climate Analytics as a Service on Clouds 1. Support virtual Climate Data Server (vCDS) 2. GPFS Parallel File System integrated with Hadoop 3. iRODS 1. needs to suupport visualize distributed heterogeneous data -- -- -- 46 MERRA 1. Integrate simulation output and observational data, NetCDF files 2. real time and batch mode both needed 3. Interoperable Use of Amazon AWS and local clusters 4. iRODS data management 1. Climate Analytics as a Service on Clouds 1. NetCDF aware software 2. MapReduce 3. Interoperable Use of Amazon AWS and local clusters 1. high end distributed visualization -- -- 1. Smart phone and Tablet access required 2. iRODS data management 47 1. real time distributed datasets 2. various formats, resolution, semantics, and metadata 1. MapReduce, SciDB, and other scientific databases 2. continuously computing for updates 3. language for data mining and event searching 4. semantics interpretation and optimal structuring for data mining and predictive analysis 1. other legacy computing systems (e.g. supercomputer) 2. high throughput data transmission over the network 1. visualization to interpret results -- 1. validation for output products (correlations) -- 48 Climate Studies 1. ~100PB data in 2017 streaming at high data rates from large supercomputers 1. ata analytics close to data storage 1. extend architecture to several other fields 1. share data with worldwide climate 2. high end distributed visualization -- -- 1. phone based input and access