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Where do we go from here? “Knowledge Environments to Support Distributed Science and Engineering”

Where do we go from here? “Knowledge Environments to Support Distributed Science and Engineering”. Symposium on Knowledge Environments for Science and Engineering. November 26, 2002. Mary Anne Scott Dept of Energy Office of Science. Distributed Resources; Distributed Expertise.

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Where do we go from here? “Knowledge Environments to Support Distributed Science and Engineering”

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  1. Where do we go from here? “Knowledge Environments to Support Distributed Science and Engineering” Symposium on Knowledge Environments for Science and Engineering November 26, 2002 Mary Anne Scott Dept of Energy Office of Science

  2. Distributed Resources; Distributed Expertise Idaho National Environmental and Engineering Laboratory Pacific Northwest National Laboratory Ames Laboratory Argonne National Laboratory Brookhaven National Laboratory Fermi National Accelerator Laboratory Lawrence Berkeley National Laboratory Stanford Linear Accelerator Center Princeton Plasma Physics Laboratory Lawrence Livermore National Laboratory Thomas Jefferson National Accelerator Facility Oak Ridge National Laboratory Major User Facilities User Institutions Los Alamos National Laboratory Specific-Mission Laboratories Sandia National Laboratories Program-Dedicated Laboratories National Renewable Energy Laboratory Multiprogram Laboratories

  3. DOE Office of Science Context • Research Pre-1995 Foundational technology (Nexus, MPI, Mbone, …) 1995-1997 Distributed Collaborative Experiment Environment Projects (testbeds and supporting technology) 1997-2000DOE 2000 Program (pilot collaboratories and technology projects) 2000-presentNational Collaboratories Program 2001-presentScientific Discovery Through Advanced Computing (SciDAC) • Planning In order to inform the development and deployment of technology, a set of high-impact science applications in the areas of high energy physics, climate, chemical sciences, magnetic fusion energy, and molecular biology have been analyzed* to characterize their visions for the future process of science, and the networking and middleware capabilities needed to support those visions *DOE Office of Science, High Performance Network Planning Workshop.August 13-15, 2002: Reston, Virginia, USA.http://doecollaboratory.pnl.gov/meetings/hpnpw

  4. MAGIC for addressing the coordination problem? • A team under the Large Scale Network (interagency coordination) • Meets Monthly (1st Wed of each month) • Federal participants • ANL, DOE, LANL, LBL, NASA, NCO, NIH, NIST, NOAA, NSF, PNL, UCAR • Other participants • Boeing, Cisco, Educause, HP, IBM, Internet2, ISI, Level3, Microsoft, U-Chicago, UIUC, U-Wisconsin • Workshop held in Chicago, Aug 26-28 • editors, contributors and participants from Federal Government, agencies and labs; industry, universities, and international organizations • ~100 participants • “Blueprint for Future Science Middleware and Grid Research and Infrastructure” Middleware And Grid Infrastructure Coordination

  5. New classes of scientific problems are enabled from technologies development High energy physicists will harness tens of thousands of CPUs in a worldwide data grid On-line digital sky survey requires mechanisms for data federation and effective navigation Advances in medical imaging and technologies enable collaboration across disciplines and scale Coupling of expertise, collaboration, and disciplines encourage the development of new science and research. Continuing exponential advances in sensor, computer, storage and network capabilities will occur. Sensor networks will create experimental facilities. PetaByte and ExaByte databases will become feasible. Increase in numerical and computer modeling capabilities broaden the base of science disciplines. Increase in network speeds makes it feasible to connect distributed resources as never before. Driving Factors for Middleware and Grids Science Push Technology Pull

  6. Future Science (~5yr)

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