eramas - grid-based environmental risk analysis and ......methods to (a segment of) the...
TRANSCRIPT
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ERAMAS - Grid-based Environmental Risk Analysis and Management System
Eberhard Beger IBB
Bernd Gutt DGC
Thilo Ernst, Andreas Hoheisel, Steffen Unger
Fraunhofer FIRST
Institute for Computer Architecture
and Software Technology
Interactive Systems Division
ERAMAS on the Grid
Environmental Risk Analysis & Management System
Fraunhofer FIRST Institute for Computer Architecture
and Software Technology
IBB Beger Engineering
Environmental Analysis & Research
DGC Dresden Groundwater Consulting
GmbH
Funded by PRO INNO - AiF
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Content
Risk analysis problem considered
Implemented models
Why Grid?
Fraunhofer Resource Grid
Screen shots of the functionality (air domain)
Lessons learned
outlook
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Risk analysis & management for chemical hazards
PROBLEM chemical accidents with release of toxic/carcinogenic
substances into atmosphere, soil and ground water
- transports of dangerous goods
- accidents in industrial facilities
- terror attacks
COUNTER MEASURES Risk analysis & assessment
Prevention and planning
Preparation
Mitigation
Emergency Response
scenario
simulation
ERAMAS
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ERAMAS models
Aeration Region
Atmosphere Person at
the site
Groundwater Region
Dangerous
goods
Person at a
remote site
Migration in ground water region
Groundwater
model
Exposure
model
Migration in the aeration region
Model of the
aeration regionExposure
model
Direct path
Exposure
model
Atmospheric
transportAtmospheric
transport
modelExposure
model
part. resultModel for exposition assessment
output of results
part. result
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Models implemented in the prototype
Air-domain
• Diagnostic wind model (DWM)
• Source strength models (evaporation model etc.)
• Lagrangian model for pollution transport
Soil
• HYDRUS (1D aeration zone model)
• MODFLOW / MINIHO (3D ground water models)
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Models implemented in the prototype
Exposition / Risk assessment
• EXPOMOS (exposition model)
• RISKASS (risk assessment model)
• ECORISK (ecological risk model)
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Computing Grids
Computing Grids Hardware and software infrastructure for consistent
and reliable access to geographically distributed
resources (software, hardware, data, sensors, etc)
→ Next Generation Internet
The Net is the Computer Analogy to the electric power grid
Established Grids Information Power Grid (NASA)
DOE Science Grid
European DataGrid (Cern)
Checklist
Interoperability
no centralized control
standardized protocols
quality of service
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Why do it on the Grid ?
Resource-demanding usage scenarios
• parameter studies
• optimization
• training for facility operators or emergency response forces
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Why do it on the Grid?
Reliability/fault tolerance
• even if the computing/networking infrastructure is damaged
Security
• sensitive data e.g. from chemical industry
Accessibility
• portal ↔ different users (e.g. mobile)
Actuality
• Models, data, threshold etc.
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Fraunhofer Resource Grid (1)• Joint initiative of several Fraunhofer
Institutes (currently 7 at 5 locations, 300+ CPUs)
• Goal: Grid testbed for Fraunhofer
Gesellschaft (58 institutes, 12,700
scientists/engineers, focus on
contract research, especially for SMEs)
• development since 2001
• Globus 2.4 based
• own „upperware“ and reference applications
• until D-Grid, one of the largest German
Grid initiatives
• continued under the umbrella of the
Fraunhofer Grid Alliance
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Fraunhofer Resource Grid (2)
• Coarse-grained component model
• command-line application = atomic job
emphasis on legacy-enabling
• workflow model, engine & designer
based on Petri nets
• Problem Solving Environment
functionality (task mapping)
• XML-based resource description
languages
• resources: hardware, software,
data, external actor
• dependencies
• workflows
Input dataRisk assessment
endInput dataVisualization
Ouput dataRisk assessment
start
Accident-specif ic data(Location, Pollutant,...)
Output dataevaporation
Input dataevaporation
Input dataLagrange
Output data dw m
Output dataLagrange
Input data dw m
Preprocessing
Visualization (GIS -> html)
Risk Assessment Model
User Interface Monte Carlo Evaporation Model
Lagrange Model
Diagnostic Windf ield Model
open-source software:
http://www.exegrid.net
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User
Repository
<models><data><users>
Fraunhofer Resource Grid
ERAMAS-Server
FhRG Grid Job Handler
ERAMAS
ERAMAS on the Fraunhofer Resource Grid
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ERAMAS Demo - http://eramas.first.fhg.de
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The DLR VirtualLab platform
- technology transfer project at DLR
(German Aerospace Center) 2000-02
- make scientific software accessible
from every web browser (like
scientific documents already are)
- tap unexploited application
potential
promote technology transfer as well
as scientific exchange (internally, too!)
- make better use of this part of DLR’s
scientifíc output
„e-Science before its birth as a buzzword“
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Lessons from ERAMAS: Introducing Grid and e-Science to a specific community
- ERAMAS attempts to introduce Web and Grid-based e-science methods to (a segment of) the environmental simulation / risk management community in Germany
-a highly heterogeneous and regionalized community, small players(engineering companies), operating in a strongly regulated context (public authorities)
- nevertheless, more direct, smooth transfer of new simulation tools and data from research into practice has been demonstrated
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More information
ERAMAS http://www.eramas.de (German)
http://eramas.first.fraunhofer.de (Demo portal)
DLR VirtualLab http://vl.nz.dlr.de
Fraunhofer
Resource Grid http://www.fhrg.fraunhofer.de
http://www.exegrid.net
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Lessons from ERAMAS: Introducing Grid and e-Science to a specific community
- on-demand computing and Grid-based Application Service Provider models attractive for SMEs (but beware of business model problems)
- simple web-based access is important
- initial skepticism → (slow!) learning → some enthusiasm
- technical: FhRG (+ VirtualLab) a solid foundation
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Beyond ERAMAS: The dawning era of Broad e-Science
-Grid technology and e-Science methods are becoming usable/affordable to scientific disciplines not closely related to Computational Science, to engineering, to technology transfer
- The Grid becomes the primary publishing and exchange medium forinformational resources
(data+software/services+documents)
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Beyond ERAMAS: The dawning era of Broad e-Science
Two areas to care more about:1. Make life easier for „Grid content producers“
- wrapping legacy applications is central („blackbox integration“) –with GUIs/WUIs if any!
- create UIs through generative techniques to reduce efforts- supply tools that assist in creating components and in composing
workflows2. Problems emerging with broad application of Grid/e-Science methods
- „resource deluge“, dynamism, evolution vs. control
Scientist/engineer ≠ computer scientist - „e-Science for the rest of us“