Transcript iSERVO and SERVOGrid: (International) Solid Earth Research Virtual Observatory Grid/Web Services and Portals Supporting Earthquake Science June 8 2004 APAC Meeting Sydney Australia Geoffrey Fox Community Grids Lab, Pervasive.

iSERVO and SERVOGrid:
(International) Solid Earth
Research Virtual Observatory
Grid/Web Services and Portals
Supporting Earthquake Science
June 8 2004 APAC Meeting
Sydney Australia
Geoffrey Fox
Community Grids Lab,
Pervasive Technologies Laboratories
Indiana University
The Solid Earth Research
Virtual Observatory
A Web-based system for modeling
multi-scale earthquake processes
Andrea Donnellan, John Rundle, Geoffrey Fox, Marlon Pierce,
Dennis McLeod, Jay Parker, Robert Granat, Terry Tullis, Lisa Grant
Solid Earth Science Questions
1.
2.
3.
What is the nature of
deformation at plate
boundaries and what are the
implications for earthquake
hazards?
How do tectonics and climate
interact to shape the Earth’s
surface and create natural
hazards?
What are the interactions
among ice masses, oceans,
and the solid Earth and their
implications for sea level
change?
4.
How do magmatic systems
evolve and under what
conditions do volcanoes
erupt?
5.
What are the dynamics of the
mantle and crust and how
does the Earth’s surface
respond?
6.
What are the dynamics of the
Earth’s magnetic field and its
interactions with the Earth
system?
From NASA’s Solid Earth Science Working Group
Report, Living on a Restless Planet, Nov. 2002
The Solid Earth is:
Complex, Nonlinear, and Self-Organizing
SESWG fed into NASA ESE Computational Technology
Requirements Workshop, May 2002
Relevent questions that Computational technologies can help
answer:
1. How can the study of strongly correlated solid earth systems be
enabled by space-based data sets?
2. What can numerical simulations reveal about the physical
processes that characterize these systems?
3. How do interactions in these systems lead to space-time
correlations and patterns?
4. What are the important feedback loops that mode-lock the system
behavior?
5. How do processes on a multiplicity of different scales interact to
produce the emergent structures that are observed?
6. Do the strong correlations allow the capability to forecast the
system behavior in any sense?
Characteristics of Computing for
Solid Earth Science
• Widely distributed heterogeneous datasets
• Multiplicity of time and spatial scales
• Decomposable problems requiring
interoperability for linking full models
• Distributed models and expertise
Enabled by Grids and Networks
SERVO: Solid Earth Research Virtual Observatory
Web-services (portal) based Problem Solving Environment (PSE)
Couples data with simulation, pattern recognition software, and
visualization software
Enable investigators to seamlessly merge multiple data sets and
models, and create new queries.
Framework arose from May 2002 NASA Workshop on Earth Science
Computational Technologies
Data
•
•
•
•
Space-based observational data
Ground-based sensor data (GPS, seismicity)
Simulation data
Published/historical fault measurements
Analysis Software
• Earthquake fault
• Lithospheric modeling
• Pattern recognition software
SERVOGrid Requirements
• Seamless Access to Data repositories and large scale
computers
• Integration of multiple data sources including sensors,
databases, file systems with analysis system
– Including filtered OGSA-DAI (Grid database access)
• Rich meta-data generation and access with SERVOGrid
specific Schema extending openGIS (Geography as a Web
service) standards and using Semantic Grid
• Portals with component model for user interfaces and web
control of all capabilities
• Collaboration to support world-wide work
• Basic Grid tools: workflow and notification
• Not metacomputing
SERVOGrid Application Descriptions
• Codes range from simple “rough estimate” codes to parallel, high
performance applications.
– Disloc: handles multiple arbitrarily dipping dislocations (faults) in an elastic
half-space.
– Simplex: inverts surface geodetic displacements for fault parameters using
simulated annealing downhill residual minimization.
– GeoFEST: Three-dimensional viscoelastic finite element model for
calculating nodal displacements and tractions. Allows for realistic fault
geometry and characteristics, material properties, and body forces.
– Virtual California: Program to simulate interactions between vertical strikeslip faults using an elastic layer over a viscoelastic half-space
– RDAHMM: Time series analysis program based on Hidden Markov Modeling.
Produces feature vectors and probabilities for transitioning from one class to
another.
– PARK: Boundary element program to calculate fault slip velocity history
based on fault frictional properties.a model for unstable slip on a single
earthquake fault.
• Preprocessors, mesh generators
• Visualization tools: RIVA, GMT
SERVOGrid Codes, Relationships
(Workflow)
Elastic Dislocation Inversion
Viscoelastic FEM
Viscoelastic Layered BEM
Elastic Dislocation
Pattern Recognizers
Fault Model BEM
(i)SERVO Web (Grid) Services
• Programs: All applications wrapped as Services using proxy strategy
• Job Submission: supports remote batch and shell invocations
– Used to execute simulation codes (VC suite, GeoFEST, etc.), mesh generation
(Akira/Apollo) and visualization packages (RIVA, GMT).
• File management:
– Uploading, downloading, backend crossloading (i.e. move files between remote
servers)
– Remote copies, renames, etc.
• Job monitoring
• Workflow: Apache Ant-based remote service orchestration (NCSA)
– For coupling related sequences of remote actions, such as RIVA movie
generation.
• Database services: support SQL queries
• Data services: support interactions with XML-based fault and surface
observation data.
– For simulation generated faults (i.e. from Simplex)
– XML data model being adopted for common formats with translation services to
“legacy” formats.
– Migrating to Geography Markup Language (GML) descriptions.
GML Schemas as Data Models for
Services


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Fault and GPS Schemas are based on GMLFeature object.
Seismicity Schema is based on GML-Observation
object.
Working schema available from
http://grids.ucs.indiana.edu/~gaydin/schemas/
Work interfaced with openGIS Consortium who
have well developed set of GIS Web services
Important Principles

Use OGCE Portal Architecture and portal services
• Data, Compute, Collaboration services

Use Grids of Grids of Simple Services Architecture
• Build Problem Solving Environment as message not method
linked capabilities



Build a GIS (Geographical Information Systems) Grid
spanning simulation/crisis management and different
fields with openGIS compliance
Education Grid by transformations on research grid
Stream Management using NaradaBrokering
• Initially testing on Space Shuttle applications

Would like to integrate with NASA’s ESMF (Earth
System Modeling Framework) using ESMF for fine
scale and Grid/Web Services for coarse scale
capabilities
Repositories
Federated Databases
Database
Sensors
Streaming
Data
Field Trip Data
Database
Sensor Grid
Database Grid
Research
SERVOGrid
Education
Compute Grid
Data
Filter
Services Research
Simulations
?
GIS
Discovery Grid
Services
Analysis and
Visualization
Portal
Geoscience Research and Education Grids
Customization
Services
From
Research
to Education
Education
Grid
Computer
Farm
Flood CIGrid
…
Electricity
CIGrid
…
Gas Services
and Filters
Flood Services
and Filters
Collaboration Grid
Sensor Grid
Registry
Gas CIGrid
Portals
GIS Grid
Data Access/Storage
Visualization Grid
Compute Grid
Metadata
Core Grid Services
Security
Notification
Workflow
Messaging
Physical Network
Critical Infrastructure (CI) Grids built as Grids of Grids
QuakeSim Portal Shots
International iSERVO Resources
• iSERVO is APEC activity involving Australia, China,
Japan, USA
– Next meeting July 9-14 2004 Beijing
– http://www.aces-workshop-2004.ac.cn/
• USC, Indiana and JPL are current USA resources
• University of Queensland
– Host resources: Web/compute server
– Finite Element Application, “Finley”
– Australian Fault Map data from Geoscience Australia
• University of Tokyo
– Linux server for Web server hosting
– Finite Element Application, “GeoFEM” and related tools.
iSERVO Example: Finley
• Finley is a finite element code being developed by
the QUAKES group at the University of
Queensland.
• Compatible with GeoFEST-style geometry models
and mesh generation tools.
– So we can reuse the services we wrapped for GeoFEST.
• The Finley application itself is a separate service
and also has a separate (simple) visualization
service.
Setting Up Finley Simulation of
Northridge
Selected Fault
Components
Select Fault from
USC database
Run Finley, Retrieve Generate Movie