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Genomics systems 2. distributed web dataflows from central gateway to users responsiveness 2. mashup of simulation outputs across codes 3. search and crowd-driven with computation backend be flexibly for new targets 4. MapReduce and search to join simulation and experimental data (General Parallel File Sysem) (storage) 3. MonogDB systems (platform) 4. 10Gb networking 5. various of analytic tools such as PyMatGen, FireWorks, VASP, ABINIT, NWChem, BerkeleyGW, varied community codes 6. large storage (storage) 7. scalable and object store (platform) 8. data streams from peta/exascale centralized simulation systems 2. policy-driven federation of datasets 2. UQ in results from multiple datasets 13 Large Scale Geospatial Analysis and 1. geospatial data requires unique approaches to indexing and distributed analysis. 1. analytics include Closest point of approach, deviation from route, point density over time, PCA and ICA 2. geospatial data requires unique approaches to indexing and distributed analysis. 1. software includes Geospatially enabled RDBMS, Geospatial server/analysis software – ESRI ArcServer, Geoserver 1. visualization with GIS at high and low network bandwidths and on dedicated facilities and handhelds 1. sensitive data and must be completely secure in transit and at rest (particularly on handhelds) -- -- 14 Object and tracking 1. real-time data FMV – 30-60 frames per/sec at full color 1080P resolution and WALF – 1-10 frames per/sec at 10Kx10K full color resolution. 1. Rich analytics with object identification, pattern recognition, crowd behavior, economic activity and data fusion 1. wide range custom software and tools including traditional RDBM’s and display tools. 2. several network requirements 3. GPU Usage important 1. visualization of extracted outputs will typically be as overlays on a geospatial display. Overlay objects should be links back to the originating image/video segment. 1. significant security and privacy, sources and methods cannot be compromised the enemy should not be able to know what we see. 1. veracity of extracted objects --