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NEES MRE: Where Infrastructure Meets Cyberinfrastructure

NEES is a distributed network for earthquake engineering simulation, linking experimental sites, data repositories, tool archives, and computational resources. Explore the consortium, experimental sites, and NEESgrid systems integration driving telepresence, curated repositories, scalable HPC, and more. Learn about stakeholders, cyberinfrastructure culture versus infrastructure culture, and the intersection of science and engineering. Join the NEES MRE community where innovation meets reliability.

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NEES MRE: Where Infrastructure Meets Cyberinfrastructure

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  1. NEES Networking NeedsThe NEES MRE: Where the Infrastructure Community Meets the Cyberinfrastructure Community Kyran (Kim) Mish, Director Center for Computational Engineering Lawrence Livermore National Laboratory

  2. So Exactly What is NEES? • Network for Earthquake Engineering Simulation • NEES is a distributed array of experimental sites, grid-based data repositories, tool archives, and computational resources, all seamlessly linked (hopefully!) • NEES has four components, with three now funded: • The consortium, which will run NEES after 2004 • The consortium development (CD) builds the consortium • The experimental sites, which provide data and content • The systems integration (SI) effort, termed NEESgrid • Network drivers include telepresence, curated repositories, scalable HPC, experimental-numerical coupling, short- and long-term QoS issues

  3. Example NEES Experimental Site • Geotechnical Centrifuge at UC Davis

  4. NEES Network Stakeholders • Experimental Facilities • Shake tables, centrifuges, wave tanks, field sites • Resource providers • Computers, software, storage, networks • End users • Researchers, practicing engineers, students, … • Operational facilities • NCSA/NEESgrid  NEES Consortium in 2004

  5. Experimental Component Grid Ops Center Grid Data Repository Campus Net Component NEESgrid Component Internet Fabric and Operations Hub A Hub B Hub C Teleobservation Equipment NEESpop A NEESpop B Experimental Equipment Telepresence Equipment Passive coPI Data Cache Video I/O Active PI Audio I/O Data Cache Site A: Experimental Data Producer Site B: Remote Lead Investigator Site C: Passive Collaborator Typical NEES Cyberinfrastructure

  6. Infrastructure vs. Cyberinfrastructure • Characteristics of Infrastructure Culture • Risk averse, which leads to slow technology adoption • Code-based practice to defend against litigation • Follow community wants/needs whenever possible • Goal is highest reliability, e.g., MTBF • Characteristics of Cyberinfrastructure Culture • High-risk, “innovate or die trying” approach to technology • Best-practices approach leaves legal issues dangling • Develop technology, then look for a market • Goal is highest performance, e.g., TFLOPS

  7. Typical NEES Infrastructure • Infrastructure community builds ubiquitous networks • Robust, reliable, redundant, extensible over time • Generally, these networks degenerate gracefully with load • High-value packets are seldom lost, thankfully

  8. Consider Science and Engineering • Science is a process whose desired outcome is scientific truth • Open sharing of data in “community of science” • Metric is “evidence of a creative mind” • Engineering is a profession whose desired outcome is technology • Information may be proprietary, IP dominates • Metric is financial or market-driven (share) • NEES MRE must respect these differences

  9. Questions, Answers, and Comments “People put up with networks only because they are a necessary evil” Words of Wisdom from Bill Lennon, LLNL:

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