NEES Networking Needs The NEES MRE: Where the Infrastructure Community Meets the Cyberinfrastructure...
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Transcript of NEES Networking Needs The NEES MRE: Where the Infrastructure Community Meets the Cyberinfrastructure...
NEES Networking Needs
The NEES MRE: Where the Infrastructure Community Meets the
Cyberinfrastructure Community
Kyran (Kim) Mish, Director
Center for Computational Engineering
Lawrence Livermore National Laboratory
llnl-cce Lawrence Livermore National LaboratoryCenter for Computational Engineering
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
llnl-cce Lawrence Livermore National LaboratoryCenter for Computational Engineering
Example NEES Experimental Site
• Geotechnical Centrifuge at UC Davis
llnl-cce Lawrence Livermore National LaboratoryCenter for Computational Engineering
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
llnl-cce Lawrence Livermore National LaboratoryCenter for Computational Engineering
Typical NEES Cyberinfrastructure
Internet Fabric and Operations
NEESpop A
Experimental Equipment
Video I/O
Audio I/O
Site A: Experimental Data Producer
Hub A
NEESpop B
Telepresence Equipment
Active PI
Data Cache
Site B: Remote Lead Investigator
Hub B
Site C: Passive Collaborator
Teleobservation Equipment
Passive coPI
Data Cache
Hub C
Experimental Component
Campus Net Component
NEESgrid Component
Grid Data Repository
Grid Ops Center
llnl-cce Lawrence Livermore National LaboratoryCenter for Computational Engineering
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
llnl-cce Lawrence Livermore National LaboratoryCenter for Computational Engineering
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
llnl-cce Lawrence Livermore National LaboratoryCenter for Computational Engineering
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
Questions, Answers, and Comments
Words of Wisdom from Bill Lennon, LLNL:
“People put up with networks only because they are a necessary evil”