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NEES: a Grid Application


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  • The George E. Brown, Jr. Network for Earthquake Engineering Simulation (NEES) is an ambitious national program to advance the study of earthquake engineering and find new ways to reduce the hazard earthquakes represent to life and property. NEES represents an unprecedented effort, in which research institutions across the country will use simulation— both physical and numerical —to develop increasingly complex, comprehensive, and accurate models of how the infrastructure responds to earthquake loadings. NEES is funded by a Major Research Equipment grant from the National Science Foundation. NEESgrid will link the NEES equipment sites into a national collaboratory. The NEES major equipment sites provide a comprehensive, shared infrastructure for performing experiments on earthquake-related phenomena.
  • The Tele-observation and Tele-operations ("Telepresence") Team is defining resource requirements and will prototype and deploy passive and active telepresence management systems, including the creation of Labview protocols, generalized active protocols, and generalized client interfaces.
  • Along with the NEES equipment sites, the NEESgrid project also involves the efforts of several academic partners, each one an acknowledged leader in the effective application of cutting-edge technology.
  • The experiment site's NEESpop hosts a CHEF collaborative framework that unifies many NEESgrid functions in one consistent web-based user interface. Through this interface, users can correspond, schedule meetings and resourses, broadcast announcements, and chat. Users can also access and edit electronic lab notebooks. These ENotebooks can contain text, diagrams, photos, and other kinds of unstructured data needed to document an experiment.
  • The remote user can check the status of the equipment site's NEESgrid components and their essential services.
  • An equipment specialist at the equipment site designs metadata describing, among other things, what each channel of data to be captured by the DAQ system represents. This is how NEESgrid learns about the experiment's configuration. This config information is used to configure the streaming server so that it knows which DAQ channels are to be made available.
  • The remote user discovers, via browser-based tool, information about the experiment's configuration, and decides which data streams to subscribe to.
  • Near-real-time data and video streaming connections have been made, and the experiment trial begins.
  • An equipment specialist ends the trial.
  • The trial data is now available for browsing and download by remote users. The captured data and metadata are stored in a standardized open format, allowing the remote user to analyze it further.
  • Transcript

    • 1. CS780-3 Lecture Notes In Courtesy of Mengjun Xie
    • 2. About
      • NEESgrid will link earthquake researchers across the U.S. with leading-edge computing resources and research equipment , allowing collaborative teams (including remote participants) to plan, perform, and publish their experiments .
      • NEESgrid, the systems integration component of the NEES project , uses the newest and fastest communications technologies to tie the NEES network together.
    • 3. NEES Resources Field Equipment Laboratory Equipment Remote Users Remote Users: ( K-12 Faculty and Students) Instrumented Structures and Sites Leading Edge Computation Curated Data Repository Laboratory Equipment Global Connections (FY 2005 – FY 2014) ( Faculty, Students, Practitioners) Simulation Tools Repository
    • 4. NEES
      • N etwork for E arthquake E ngineering S imulation
        • 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 :
        • 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.
    • 5. 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
    • 6. NEESgrid?
      • A coordinated and secure architecture/environment
      • A modular and extensible environment with a customizable user interface
      • Provides common tools that allow leveraging resources and experiences
      • Goal: the Cyber Infrastructure that will facilitate this next generation of experimentation/simulation in earthquake engineering
      “ A Distributed Virtual Laboratory for Advanced Earthquake Experimentation and Simulation .” -- B. F. Spencer, Jr. ( PI & Project Director )
    • 7. NEESgrid?
      • Through the NEESgrid, researchers can:
        • perform tele -observation and tele -operation of experiments;
        • publish to and make use of a curated data repository using standardized markup;
        • access computational resources and open-source analytical tools;
        • access collaborative tools for experiment planning, execution, analysis, and publication.
    • 8. Telepresence
      • Telepresence means the capability to participate remotely in experimental trials. There are two main categories:
        • Tele-observation : the ability to observe the experiment and capture trial data from a remote site
        • Tele-operation : the ability to interact with the experiment equipment from a remote site.
    • 9. Collaboration and Visualization
      • The tasks of Collaboration and Visualization project include:
        • prototype a Grid-based collaborative environment;
        • integrate support for visualization tools into the collaborative environment;
        • adapt the Comprehensive Collaborative Framework ( CHEF ) for collaborative visualization applications and services; and
        • produce appropriate final documentation of the collaboration and visualization components of NEESgrid.
      • CHEF is a flexible web-based environment for remote collaboration.
    • 10. Main Components
        • Tele-Control Services and APIs
        • Tele-Observation and Data Visualization
        • E-Notebook
        • Streaming data services
        • DAQ and related services
        • Data and Metadata Services
        • Remote Collaboration and Visualization tools and services
        • Core Grid Services, deployment efforts, packaging
        • Simulation Component
    • 11. Progress
      • The task of designing and creating this infrastructure has been awarded to the NCSA at UIUC.
      • The components of the NEESgrid system will be completed by September, 2004, when management and operation of the NEES system will be turned over to a consortium of earthquake engineer researchers and practitioners.
    • 12. Partner National Center for Supercomputing Applications Randy Butler —Deployment, Operations, and Support Mark Marikos —Management Joe Futrelle —Data and Metadata University of Illinois at Urbana-Champaign Bill Spencer —Management Dan Abrams —Community Building Argonne National Laboratory Nestor J. Zaluzec —Telepresence Ian Foster —System Configuration Information Sciences Institute Carl Kesselman —System Configuration University of Southern California Jean-Pierre Bardet —Integrated Demonstrations School of Information, University of Michigan Joseph Hardin —Collaboration Tom Finholt —User Requirements
    • 13. System Architecture
    • 14. System Architecture
    • 15. System Architecture
    • 16. System Architecture
    • 17. System Architecture
    • 18. System Architecture
    • 19. System Architecture
    • 20. Pre-Experiment Collaboration
      • The remote user (RU) logs into the equipment site's NEESpop. After authentication, RU can access all granted NEESgrid resources through SSN.
      • RU can, via CHEF, read and participate in discussions related to the equipment site, see a calendar, share documents, make announcements, and correspond with other researchers to plan an experiment.
      • Through NEESpop, RU can also access and edit electronic lab notebooks hosted on the TPM.
    • 21. Monitoring Network Status
      • RU contacts CHEF and requests a summary of the system's health and status.
      • The CHEF server contacts a central NCSA server that monitors NEESgrid.
      • Standard grid services (GIIS at NCSA, GRIS for other services) are continually collecting information on system connectivity and the availability of grid services such as GridFTP.
      • The grid information is summarized and sent to RU's browser.
    • 22. Setting Up the Experiment
      • Using a CHEF teamlet, the equipment specialist at the equipment site enters the metadata describing the configuration of the experimental setup.
      • The metadata repository on the NEESpop holds this configuration information, making it available for browsing by RUs.
      • The NEESpop metadata repository also sends configuration information to the DAQ system(s).
    • 23. Subscribing to Trial Data Streams
      • RU contacts CHEF to browse available NEESgrid resources and discover what data will be available for streaming.
      • A CHEF teamlet uses GIIS and GRIS to query and report features and availability of NEESgrid resources, as well as details of NEES equipment and available data streams.
      • RU contacts the NEESpop and requests a subscription to several data streams.
      • The NEESpop negotiates with the NSDS to broadcast the selected data streams.
    • 24. Streaming Near-Real-Time Data
      • Instrument information is sent in real time from the DAQ system through a NSDS daemon to the NSDS.
      • Data is streamed by NSDS to the RU. An applet in the RU's browser displays the results.
      • Video services are managed through the TPM server and streamed to the RU via a separate video streaming server.
    • 25. Ending the Trial
      • The DAQ equipment moves the trial data to a data repository hosted on the NEESpop.
      • The data is associated with appropriate metadata information, such as experiment ID, channel ID, and sensor type.
    • 26. Analyzing the Trial Data
      • The trial data can now be browsed via CHEF.
      • The trial data and metadata can be downloaded to the RU via GridFTP service.
      • The RU can then use either standard software, such as MatLAB, or their own customized software to analyze the trial data.
    • 27. Login Authentication
    • 28. Chat CHEF Environment
    • 29. E-Notebook CHEF Environment
    • 30. Data Viewer CHEF Environment
    • 31. NTCP Data CHEF Environment
    • 32. NEESgrid Central Repository CHEF Environment
    • 33. Summary
      • Characterizations of NEES project:
        • A very specific application
        • A wide range of resource sharing:
          • Raw data, experimental results, equipment, computation/software tools
        • Centralized controls, monitoring, and management.
      • Does this follow the three principles of Grid?
        • Not really: it is subject to central control, not open source software based.
      • But it is a successful model of grid applications.
      • A Global and general grid is an ideal model, and may become realistic after many successful NEES projects.