NEESgrid: Virtual Collaboratory for Advanced Earthquake ... · NEESgrid: Virtual Collaboratory for...
Transcript of NEESgrid: Virtual Collaboratory for Advanced Earthquake ... · NEESgrid: Virtual Collaboratory for...
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NEESgrid: Virtual Collaboratory for Advanced Earthquake Engineering
ClusterWorld ConferenceJune 26, 2003
Tom PrudhommeNSF NEESgrid System Integration Project
Division Director, CybercommunitiesNational Center for Supercomputing Applications
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Presentation Topics
NEES OverviewNEESgrid OverviewUser Requirements and UsabilityNEES and the World of Scalable Grid Computing
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What is NEES?
NEES = Network for Earthquake Engineering Simulation– NEES is a distributed array of experimental sites, grid-based data
repositories, tool archives, and computational resourcesNEES has four components– The consortium, operational management of NEES 2004-2014– The consortium development team (CDT) builds the consortium– The experimental sites provide facilities, data and content– The systems integration (SI) effort builds the collaboratory
SI drivers include collaboration, seamless access to resources (telepresence, curated repositories, scalable HPC), experimental-numerical coupling, discoveryThe full title of NEES is the “George E. Brown, Jr. Network for Earthquake Engineering Simulation”
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NEES: Physical and Computational Simulation
Network for Earthquake Engineering Simulation
Goal: create collaborative network of experimental sites
at fifteen U.S. universities
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NEES Phase I Equipment Sites
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UC Davis Soil Centrifuge
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Oregon State Tsunami Facility
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Computational Simulation
Example: San Francisco-Oakland Bay Bridge– Multiple non-linear systems– Foundation is saturated (fully-coupled multiphysics)– Complexity from juxtaposition of forms (unstructured)
FearsLab Donald G. Fears Structures LaboratoryUniversity of Oklahoma
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NEES: Community Building
A Diverse Community– multidisciplinary groups
• engineering, architecture, geology, • urban planning, computing , …
– geographic distribution of people/resourcesEnablers of Change– distributed, unique experimental facilities– multimodal collaboration systems– distributed, large-scale data archives– leading edge computing systems
Opportunities and Challenges– creating 21st century engineering infrastructure– nurturing a sustainable, multidisciplinary community
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10www.touchgraph.com
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11www.touchgraph.com
NEES
Collaboration
Grids
Collaboration
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The NEES WinNew engineering capabilities– rapid assembly of virtual teams– access for all to remote facilities and experiments– interfaces to distributed data archives/experiment repositories
National and international cyberinfrastructure leverage– corporate and government commitments– billions of dollars in leverage
• commoditization of infrastructureDistributed facility and collaboration access– NEES experimental sites (ES)– distributed collaborators
Strong security features – secure user-level experiment control and data sharing
Resource discovery and monitoring services – available resource identification and continuous status monitoring
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Field Equipment
Laboratory Equipment
Remote Users
Remote Users: (K-12 Faculty and Students)
High-Performance Network(s)
Instrumented Structures and Sites
Leading Edge Computation
Curated Data Repository
Laboratory Equipment
Global Connections
(FY 2005 – FY 2014)
Simulation Tools Repository
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NEESgrid High-Level Architecture
Capabilities (data, simulation, collaboration, visualization, telepresence) validated and improved via demonstration scenarios and delivered via
– APIs and tools for users– services and interfaces at equipment and resource sites– management services for operation
System Resources: Compute, Network, Data Storage, Testing Sites
Grid Resource Management Middleware
APIs Supporting Higher Level Information Services
Collaboration Services
Data & InformationServices
TelepresenceServices
Simulation & Analysis Services
Portal, Web and 3rd Party End User Interfaces
APIs, Tools and Libraries Supporting End User Interfaces
Insight
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NEESgrid Conception
NEESpop A
Experimental Equipment
Video I/O
Audio I/O
Site A: Experimental Data Producer
Hub A
Telepresence Equipment
Active PI
Data Cache
Site B: Remote Lead Investigator
Hub B
Internet Fabric and Operations
Site C: Passive Collaborator
Teleobservation Equipment
Passive co- PI
Data Cache
Hub C
Data Repository
Operations Center
Experimental Component
Campus Net Component
NEESgrid Component
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NEESgrid Project Phases
Requirements and Design(7/00 – 2/02)
Component Testing(~8/01 – 6/02)
Early Adopter ProgramUNR, RPI, Oregon State
(3/02 – 1/03)
Operational System Prototype (7/03)
System Transition to Consortium (9/04)
Scoping Study, User Requirements Surveys & Site Visits,Project Planning Documents, System Architecture Specification
Testing Telepresence, Collaboration and Data Systems Interfaces; Grid Components
First Demonstration of Integrated NEESgrid System using UNR Testing Site, and Releaseof NEESpop Software to Equipment Sites
We are here (4/03)
Multiple Site IntegratedSystem Test
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NEESgrid Deployment Relationships
A small set of adventurous sites
Expanded set of sites eager to engage
Available for all
Alpha 1.0Alpha 1.0Basic Functionality
Spring 2003
Release 2.0Release 2.0
Advanced Functionality
Fall 2003
Release 3.0Release 3.0
Production Hardened
Spring 2004
Expan
ding O
perat
ions
Expan
ding S
ite D
eploy
ments
Expan
ded T
raining
Free NEESpop Distribution
Alpha 1.1June 2003
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Component Systems
Grid Services and System Software– Argonne National Laboratory– USC/Information Sciences Institute
Telepresence System (ANL)Collaboration Framework (Univ. of Michigan)Simulation Repository and Portal (OU)Data Repository and Tools (NCSA)Experimental Test Management (All)
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Experimental Testing: 10/02 Demo
Earthquake simulation at UNR early adopter site– biaxial shake table with cameras and instrumentation– 40% scale model of a two span bridge
• concrete slab over steel girders
Bridge model instrumented with sensors– strain gauges, load cells, displacement, acceleration, …
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Browser-based collaborative frameworkElectronic notebook for data recordingExperiment management tools– data and metadata
Streaming data and video– tele-observation of experiment– data channels from sensors
Data analysis and visualization
Experimental Testing: 10/02 Demo
SAP2000 model
Tele-observation
MATLAB GUI Interface
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Experimental Testing: 10/02 Demo
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Alpha 1.0 Software ReleaseAvailable February 12, 2003 to NEES early adopter sites– based on software from the November 2002 demonstration
Initial release features– includes hardened and tested software components
• logically packaged as service/system sets• NCSA Grid Packaging Technology (GPT)
– supports enhanced security mechanismsSoftware support– deployment team for help with software installation and
configuration– April workshop for user support and engagement– NEESGrid-discuss mailing list
• archived and searchableAlpha 1.1 update recently released
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23gx&&
Multi-Site, On-Line Simulation Test (MOST)July 2003
UIUC Experimental Model
gx&&
f1
m1
NCSA Computational Model
m1
f1f2 f2
Colorado Experimental Model
gx&&
SAC Consortium Benchmark Structure
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Multi-Site, On-Line Simulation Test (MOST)
ColoradoColoradoExperimental Model
gx&&
f2m1, θ1
F2
F1
e
gx&&=
gx&&
f1, x1
UIUCUIUCExperimental Model
gx&&
m1
f1 f2
NCSANCSAComputational Model
SIMULATIONSIMULATIONCOORDINATORCOORDINATOR
NEESpop NEESpop
NEESpop
UIUC MUST-SIM•Dan Abrams•Amr Elnashai•Dan Kuchma•Bill Spencer• and othersColorado FHT•Benson Shing•and others
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MOST Column Test Specimens
Illinois Test Specimen
Colorado Test Specimen
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Collaboration Framework
Team Research Scenario– Middle State University
• PI - Elliot Sullivan• PhD Student – Erica Granger
– State Institute of Technology – Equipment Site• PI – Eduardo Ruiz• Masters Student – Hideo Ishii
– Valley College• Harish Gupta – Electrical Engineer
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Elliot Sullivan
Develops composite lateral-resistance systemsConducts research using his school’s Reaction WallInterested in dynamic shake table testingHears about a new funding initiativeLearns about NEES at a conference
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 1 – Visiting NEES
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 1 – Joining NEES
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 1 – Selecting Worksites
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 1 – Consortium Worksite
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 1 – Equipment Site Listing
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 1 – Making Contact
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Month 1 – State Tech Worksite
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 1 –State Tech Equipment
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 2 – Creating a Worksite
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 3 – Discussing Proposal
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 3 – Proposal Versioning
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 4 – Planning Meeting
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 9 – Scheduling Equipment
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 9 – Scheduling Equipment
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 9 – Scheduling Equipment
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 10 – Publicity for Project
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 10 – Uploading Resources
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 12 – Test Day (Sullivan)
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 12 – Test Day (Gupta)
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 13 – Data Browser
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 14 – Analytic Tools
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 15 – Report Versioning
SCHOOL OF INFORMATION UNIVERSITY OF MICHIGAN
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Month 15 – Revising Report
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51SCHOOL OF INFORMATION
UNIVERSITY OF MICHIGAN
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Data and Metadata
Data repository– 256 GB of storage area network (SAN) disk– NCSA archive support (~1.5 PB capability)– 24x7 operation
Repository data ingestion– Northridge finite element bridge model (March)– Selected SAC data (June)– MOST experiment data and metadata (July)– Bring your own data workshop(s) (Summer 2003)
Publicly accessible (Fall 2003)
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Data Repository
Local storageserver
NEESpop
NMDS
HTTPS
User
CHEFGridFTP
Site
Local/remoteparticipant
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NEESgrid Telepresence (TPM)
TelePresenceServer
Internet ApplianceTCP/IP Network Fixed Video Source
TeleRobotic Video Source
Sound/Audio Feeds
NEES PublicResources
NEES PrivateResources
DAQ & Control Systems
Data Lines to Expt. Equipment.
NEES Major Equipment
Video Switch
Video Amplifier
NEES POP
ARGONNE CHICAGO
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Current TPM Installations
Early Adopters (EA)– UNR (tpm.ce.unr.edu) – ORST (neestpm.wave.orst.edu) – RPI (tpm.nees.rpi.edu)
MOST-SIM Demo– Colorado (neestp.colorado.edu) – UIUC (cee-zztt.cee.uiuc.edu)
Others– Electronic notebooks
• all NEES ESs at Argonne• neestpm.mcs.anl.gov
– UC-Davis• private Electronic Notebook
ARGONNE CHICAGO
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Computational Simulation
Terascale Framework– New client-server
engineering portal for grid computing
– Scalable framework for finite-element HPC
OpenSEES Framework– simulating structural
and geotechnicalsystem performance
– Modeling and computational simulation tools
FearsLab Donald G. Fears Structures LaboratoryUniversity of Oklahoma
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NEESgrid Training
Assist the NEES Equipment Sites – deploying NEESgrid software at their sites
Assist advanced users – learning to use NEESgrid capabilities
Beginning in April 2003– a series of six training sessions, each 2.5 days long– series hosted at NCSA/University of Illinois
First session targets developers at EA sites– system architecture overview and APIs– hands on “bring your application” interaction
Other session topics to follow– system administration
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Science and Engineering Grids
Source: Randy Butler
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NEES ImpactScience and engineering futures
– increasingly complex problems (disciplinary and interdisciplinary)– distributed, collaborative virtual teams– integrated experiment, theory, and simulation
NEES shares these features with other disciplines (for example)– high-energy physics (ATLAS and CMS)
• atlas.web.cern.ch– fundamental physics (LIGO)
• www.ligo.caltech.edu– astronomy/cosmology (NVO)
• www.us-vo.org– quantitative biology (BIRN)
• birn.ncrr.nih.gov– geosciences network (GEON)
• www.geongrid.orgThese and other projects are building
– infrastructure for 10-20 year research horizons– same teams and methods as NEES and NEESgrid
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Globus Toolkit Growth
0
5000
10000
15000
20000
25000
30000
1997 1998 1999 2000 2001 2002
Dow
nloa
ds p
er M
onth
from
ftp.
glob
us.o
rg
DARPA, NSF, and DOE begin funding Grid work
NASA initiatesInformation Power Grid,DOE increases support
Globus Project winsGlobal Information
InfrastructureAward
MPICH-Greleased
The Grid: Blueprint for a New ComputingInfrastructure published
GT 1.0.0Released
Early ApplicationSuccesses Reported
GT 1.1.1Released
GT 1.1.2Released
GT 1.1.3Released
NSF & European CommissionInitiate Many New Grid Projects
GT 1.1.4 andMPICH-G2 Released
Anatomy of the GridPaper Released
FirstEuroGlobusConference
SignificantCommercial
Interest inGrids
NSF GRIDS CenterInitiated, DOE begins
SciDAC program
GT 2.0 betaReleased
Physiology of the GridPaper Released
GT 2.0Released
GT 2.2Released
Does not include downloads from:NMI, UK eScience, EU Datagrid,IBM, Platform, etc.
Source: Ian Foster
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NSF TeraGrid
NCSA, SDSC, Argonne, CaltechUnprecedented capability– 13.6 trillion flop/s– 600 terabytes of data– 40 gigabits per second– Accessible to thousands
of scientists working onadvanced research
www.teragrid.org
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Grid Communities & Technologies
Yesterday– Small, static communities, primarily in science– Focus on sharing of computing resources– Globus Toolkit as technology base
Today– Larger communities in science; early industry– Focused on sharing of data and computing– Open Grid Services Architecture emerging
Tomorrow– Large, dynamic, diverse communities that share a wide variety of
services, resources, data– New issues: Trust, distributed RM, knowledge
ARGONNE CHICAGO
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“Gridified” Infrastructure
Industrial Perspective on Grids:A Wide Range of Applications
FinancialServices
DerivativesAnalysis
Statistical Analysis
Portfolio Risk
Analysis
DerivativesAnalysis
Statistical Analysis
Portfolio Risk
Analysis
Manufacturing
Mechanical/ Electronic
Design
Process Simulation
FiniteElement Analysis
Failure Analysis
Mechanical/ Electronic
Design
Process Simulation
FiniteElement Analysis
Failure Analysis
LS / Bioinformatics
Cancer Research
Drug Discovery
Protein Folding
Protein Sequencing
Cancer Research
Drug Discovery
Protein Folding
Protein Sequencing
Other
Web Applications
Weather Analysis
Code Breaking/ Simulation
Academic
Web Applications
Weather Analysis
Code Breaking/ Simulation
Academic
Sources: IDC, 2000 and Bear Stearns- Internet 3.0 - 5/01 Analysis by SAI
Grid
Ser
vice
s M
arke
t Opp
ortu
nity
200
5
Unique by Industry with Common Characteristics
Energy
Seismic Analysis
Reservoir Analysis
Seismic Analysis
Reservoir Analysis
Entertainment
Digital Rendering
Digital Rendering
Massive Multi-Player
Games
Massive Multi-Player
Games
Streaming Media
Streaming Media
ARGONNE CHICAGO
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Global Knowledge Communities
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Designing for The Long Term: Future NEES Users
http://www.neesgrid.org