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Enhancing Earthquake Science with SERVOGrid Web Services

The Solid Earth Research Virtual Observatory (SERVO) offers a web-based system for modeling earthquake processes, enabling seamless data merging and new query creation. This supports observational, sensor, and simulation data along with analysis software for fault modeling and pattern recognition.

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Enhancing Earthquake Science with SERVOGrid Web Services

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  1. iSERVO and SERVOGrid: (International) Solid Earth Research Virtual Observatory Grid/Web Services and Portals Supporting Earthquake Science Jan 16 2004 Los Angeles Geoffrey Fox Community Grids Lab, Pervasive Technologies Laboratories Indiana University

  2. 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

  3. Solid Earth Research Virtual Observatory (SERVO) • Web-services and portlet 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. • Data • Spaced-based observational data • Ground-based sensor data (GPS, seismicity) • Simulation data • Published/historical fault measurements • Analysis Software • Earthquake fault • Lithospheric modeling • Pattern recognition software • International Version iSERVO • Australia China and Japan

  4. SERVOGrid Codes, Relationships (Workflow) Elastic Dislocation Inversion Viscoelastic FEM Viscoelastic Layered BEM Elastic Dislocation Pattern Recognizers Fault Model BEM

  5. 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. • VirtualCalifornia: Program to simulate interactions between vertical strike-slip 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. • PDPC: Phase Dynamics Probability Change • Preprocessors, mesh generators • Visualization tools: RIVA, GMT

  6. Data Access and Sharing, Code Integration • Codes all use custom text formats for describing input and output. • Input and output data often combined with code-specific information. • Number of iterations, array sizes, etc. • Data files often created by hand from journals, online repositories • Online repositories themselves use differing formats • Challenges are to develop common data formats, access services, and client query tools. • Solve by wrapping all codes as Web/Grid services

  7. Web Services for Data Access and Computing Service Invocation • Web services: • WSDL: Interface definition language, describes your service • “GeoFEST may be invoked with these input types” • SOAP: Transport envelope for remote procedure calls/messages • “Invoke GeoFEST with this set of input” • Critical feature: all I/O message (not RPC) based • WSDL is message version of method calls • Together, WSDL and SOAP are useful for manipulating, returning XML data values • So GML schemas act as our data models and return values • Do not distinguish between Web and Grid services • Note OMII (Open Middleware Infrastructure Institute) will develop e-Science core technology • Currently only in UK but likely to spread • Wrappers convert conventional file/parameter I/O to Web Service messages

  8. Nugget3 Nugget4 Interaction Nugget1 Nugget2 Data Building PSE’s with theRule of the Millisecond I • Typical Web Services are used in situations with interaction delays (network transit) of 100’s of milliseconds • But basic message-based interaction architecture only incurs fraction of a millisecond delay • Thus use Web Services to build ALL PSE components • Use messages and NOT method/subroutine call or RPC

  9. Building PSE’s with theRule of the Millisecond II • Messaging has several advantages over scripting languages • Collaboration trivial by sharing messages • Software Engineering due to greater modularity • Web Services do/will have wonderful support • “Loose” Application coupling uses workflow technologies • Find characteristic interaction time (millisecond programs; microseconds MPI and particle) and use best supported architecture at this level • Two levels: Web Service (Grid) and C/C++/C#/Fortran/Java/Python • Major difficulty in frameworks is NOT building them but rather in supporting them • IMHO only hope is to always minimize life-cycle support risks • Science is too small a field to support much! • Expect to use DIFFERENT technologies at each level even though possible to do everything with one technology • Trade off support versus performance/customization

  10. (i)SERVO Web (Grid) Services • Programs: All applications wrapped using proxy strategy as Services • 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 • 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.

  11. GML Schemas as Data Models for Services • Fault and GPS Schemas are based on GML-Feature 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

  12. The Next Generation Grid Portal(http://www.ogce.org) Event and logging Services The User Application Factory Services Messaging and group collaboration Portal Server Directory & index Services User's Persistent Context MyProxy Server Metadata Directory Service(s) • Building on Standard Technologies • Portlet Design (JSR-168) IBM, Oracle, Sun, BEA, Apache • Grid standards: Java CoG, Web/Grid Services • Web server: JetSpeed (open source) • User configurable, Service Oriented • Philosophy: The Portal is a gateway to distributed Grid and Web Services • With common API, portlets can be exchanged, interoperate

  13. Collage of Portals Earthquakes – NASAFusion – DoE Computing Info – DoD Publications -- CGL

  14. QuakeSim Portal Shots

  15. Portal Architecture Clients (Pure HTML, Java Applet ..) Aggregation and Rendering Portlet Class:WebForm Gateway (IU) Web/Gridservice Computing Remoteor ProxyPortlets Portlet Class:IFramePortlet Web/Gridservice Data Stores Portlet Class:JspPortlet GridPort etc. Web/Gridservice Instruments Portlet Class:VelocityPortlet (Java) COG Kit Hierarchical arrangement Jetspeed Internal Services LocalPortlets Clients Portal Portlets Libraries Services Resources (Jetspeed)

  16. GeoFEST: Northridge Earthquake Deformation

  17. Virtual California: 1000 Years of Simulated Earthquakes

  18. Pattern Recognition:InSAR and Seismicity Anomalies

  19. International iSERVO Resources • 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.

  20. 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.

  21. Setting Up Finley Simulation of Northridge Selected Fault Components Select Fault from USC database

  22. Run Finley, Retrieve Generate Movie

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