IT Enabled Science NASA Highend Computing Environment NASA

IT Enabled Science NASA High-end Computing Environment NASA IT Summit Joe Bredekamp Science Mission Directorate August 17, 2010

The Science Mission Directorate

Astrophysics Earth Science Heliophysics Planetary Science

Total Missions / Spacecraft Astrophysics Earth Science 6/24/10 84 / 98 Heliophysics Planetary Science Formulation 12 / 12 ARC 1 LADEE JPL GSFC MSFC 2 2 7 Implementation 15 / 18 Primary Ops 19 / 19 Extended Ops 38 / 49 JPL GSFC DFRC ARC JPL GSFC 7 MSFC La. RC JPL GSFC MSFC 8/12 8 6 1/0 1 2 12/15 24/32 Fermi MESSENGERCALIPSOGALEX Spitzer Herschel Aura New Horizons Cloudsat Planck TWINS-A HST ACRIMsat RXTE NPP OSTM~ CINDI Rosetta TWINS-B GRACE (2) WMAP SET-1 DAWN Jason-1 XMM RBSP (2) EPOXI* SDO Voyager (2) SWIFT MMS (4) NEx. T* Mars Express Aqua SMAP ICESat-II NF-3 Nu. STAR JWST OCO-2 IRIS Strofio ST-7 LDCM Solar Orbiter Aquarius GPM Solar Probe + MSL Glory GEMS JUNO Astro H GRAIL MAVEN SOFIA(1/0) Kepler WISE IBEX Chandra Suzaku Hinode Integral Mars Odyssey SORCE SOFIA is a mission projects but does not add spacecraft Italics = US instruments on foreign mission X / Y = # of missions / # of spacecraft * New missions for Deep Impact and Stardust, respectively ~ Operated by another agency In concept development/pre-formulation: JDEM, SIM-Lite, LISA, IXO, Mars 2016/Exo. Mars, Mars 2018, OPF, CLARREO, DESDyn. I, GRACE FO, SAGE III EO-1 Cassini Terra MRO TRMM RHESSI SOHO TIMED TRACE WIND ACE GEOTAIL NOAA Reimbursable: GOES-R, Jason-3 (pre-formulation), JPSS-1&2 MER (2) Landsat 7~ THEMIS (5) STEREO (2) AIM Cluster-2 (4)

Strategic Triad of Science Theory Models Data Emerging e. Science: 4 th pillar or data-intensive science synthesizing theory, experiment, and computation with advanced information science and technology to enable new science challenges

Science Computation and Information Management Provide comprehensive and robust infrastructure of data, computing, and modeling resources to maximize scientific productivity and knowledge enhancement Key Principles Ø Stewardship responsibility for the integrity and preservation of science data assets as a national resource and ensure usability for worldwide community Ø Open Science: Universal access, sharing , and collaboration to science community, educators, students, and general public Challenges Ø Ø Multitude and diversity of missions Volume, richness, complexity, and breath of types of data Increasingly interdisciplinary nature of research and “systems science” Widely distributed and diverse nature of assets and capabilities, as well as users and providers Ø Evolution: Emerging technology and innovation Ø Balancing competing constraints for open access vs. security/asset assurance

Science Mission Data Lifecycle Mission Operations Science Data Operations Data Capture and Initial Science Data Processing Generate time-ordered Calibration, other science data stream corrections, and with transmission generation of higher artifacts removed level data products Mission Control and Data Handling Facilities Mission Pipeline Processing Systems Research Operations Scientific Inference and Discovery Ingest data products, Explore vast data metadata and holdings to extract supporting meaningful scientific documentation insight and knowledge Archival & Distribution Mission Data Archives Science Investigator-led Science Discipline. Processing Systems oriented Data Archives Key Instantiations: EOSDIS Data Centers Planetary Data System Astrophysics Science Archive Research Centers Heliophysics Data Environment: Solar Data Analysis Facility, Space Physics Data Facility

Summary • Highly diverse and widely distributed nature of science enterprise environment– no one-size solutions allowed!! – Top-down mandates not generally effective – Maintain federated architecture that fosters and promotes integration, interoperability and use of shared infrastructure • Maintain a science perspective for agility and innovation in leveraging NASA IT infrastructure capabilities and constraints • Need for balancing externally driven compliance and mission effectiveness trades • Opportunity to improve alignment with IT security and move from compliance-based to risk management, mission assurance approach