Challenges Faced in Building a Virtual Organization for Seismology  in South Eastern Europe Can Özturan  Bilal Bektaş, Meh...
Motivation  for a Seismology Virtual Org. Investments worth billions of euro s Interested Organizations Many Users Softwar...
Motivation  for a Seismology Virtual Org. <ul><li>Attract knowledge workers / researchers to use e-infrastructures  </li><...
Research  Objectives <ul><li>Serve  massive seismology data  on EGEE grid </li></ul><ul><li>Gridify seismology application...
Research  Objectives Collaborating  Organization s Country Polytechnic University of Tirana Albania National Academy of Sc...
Research  A pproach  and   M ethodology <ul><li>Use d istributed storage and serving of  data </li></ul><ul><li>Index and ...
Research  A pproach  and   M ethodology SEE Country 1 Applications Programming tool  ( Data  Iterators) SEE Country 2 SEE ...
Research  A pproach  and   M ethodology <ul><li>S eismology applications  </li></ul><ul><ul><li>Seismic Risk Assessment (T...
Major  O utcomes  and  Results <ul><li>2.44 TB of data collected from roughly 100 stations </li></ul><ul><li>Seismic data ...
Major  O utcomes  and  Results
Major  O utcomes  and  Results
Conclusion and outlook <ul><li>Engineering/scientific  curriculums include programming classes (C/Fortran/C++) </li></ul><...
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Challenges Faced in Building a Virtual Organization for Seismology in South Eastern Europe

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Presented at eChallenges e-2009 Conference , Istanbul, Turkey, 21st October 2009.

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Challenges Faced in Building a Virtual Organization for Seismology in South Eastern Europe

  1. 1. Challenges Faced in Building a Virtual Organization for Seismology in South Eastern Europe Can Özturan Bilal Bektaş, Mehmet Yılmazer Boğaziçi University, Istanbul and Cevat Şener Middle East Tech. University, Ankara Turkey
  2. 2. Motivation for a Seismology Virtual Org. Investments worth billions of euro s Interested Organizations Many Users Software Costs Realistic Models Grid e-Infrastructures Massive Seismology Data and Computational Power Decision Support Systems Software Knowledge workers Engineers, Researchers Insurance companies, Municipalities , Governmental Institutes , Civil engineering, Seismology / Earthquake Departments in Universities Construction of highways, bridges, dams and factories, Insurance premiums, Renovation of risky structures, Construction standards Emergency response after earthquakes
  3. 3. Motivation for a Seismology Virtual Org. <ul><li>Attract knowledge workers / researchers to use e-infrastructures </li></ul><ul><li>According to Roberto Barbera , University of Catania and INFN </li></ul><ul><ul><li>EC funding for EGEE-III : 1.4 k€ per user per year (11.7 k users) </li></ul></ul><ul><ul><li>EC funding GEANT3 : 0.8 € per user per year (30 M users ) </li></ul></ul><ul><ul><li>Reference (EGEE 09 Conference, Barcelona) : http://indico.cern.ch/materialDisplay.py?contribId=214&sessionId=60&materialId=slides&confId=55893 </li></ul></ul>
  4. 4. Research Objectives <ul><li>Serve massive seismology data on EGEE grid </li></ul><ul><li>Gridify seismology applications </li></ul><ul><li>Build seismology VO application services </li></ul><ul><li>Promote collaborations among researchers </li></ul><ul><li>Train interested researchers </li></ul>
  5. 5. Research Objectives Collaborating Organization s Country Polytechnic University of Tirana Albania National Academy of Sciences of Armenia Armenia Seismological Department, in Geophysical Institute of BAS Bulgaria Department of Geophysics in Institute of Geography and Earth Sciences of Eötvös Loránd University Hungary Seismological Observatory of Geodetic and Geophysical Research Institute of Hungarian Academy of Sciences Hungary Faculty of Natural Sciences and Mathematics of University of Ss. Cyril and Methodius FYR of Macedonia Institute of Geology and Seismology of ASM Moldova Seismological Survey of Serbia Serbia Kandilli Observatory and Earthquake Research Institute , Dept. of Computer Eng ineering , Boğaziçi University Turkey Middle East Technical University Turkey
  6. 6. Research A pproach and M ethodology <ul><li>Use d istributed storage and serving of data </li></ul><ul><li>Index and organize data logically </li></ul><ul><ul><li>Aim data location independence </li></ul></ul><ul><li>Build Programming tools for accessing data </li></ul><ul><ul><li>called Virtual Organization Specific Iterators </li></ul></ul><ul><li>Gridif y six seismology applications </li></ul>
  7. 7. Research A pproach and M ethodology SEE Country 1 Applications Programming tool ( Data Iterators) SEE Country 2 SEE Country n ... Distributed storage and indexing of data on grid using AMGA All European Countries Earthquake and seismic waveform data Earthquake and seismic waveform data Earthquake and seismic waveform data NERIES / ORFEUS Datacanter
  8. 8. Research A pproach and M ethodology <ul><li>S eismology applications </li></ul><ul><ul><li>Seismic Risk Assessment (Turkey) </li></ul></ul><ul><ul><li>Numerical Modeling of Mantle Convection (Hungary) </li></ul></ul><ul><ul><li>Fault Plane Solution (Turkey) </li></ul></ul><ul><ul><li>Earthquake Location Finding (Turkey) </li></ul></ul><ul><ul><li>Massive Digital Seismological Signal Processing (Macedonia) </li></ul></ul><ul><ul><li>S eism i c data server application service (Turkey) </li></ul></ul>
  9. 9. Major O utcomes and Results <ul><li>2.44 TB of data collected from roughly 100 stations </li></ul><ul><li>Seismic data iterators developed </li></ul><ul><li>Interface to NERIES/ORFEUS datacenter built </li></ul><ul><li>Applications gridified by collaborating teams </li></ul><ul><li>Dissemination, training and publication activites performed </li></ul>
  10. 10. Major O utcomes and Results
  11. 11. Major O utcomes and Results
  12. 12. Conclusion and outlook <ul><li>Engineering/scientific curriculums include programming classes (C/Fortran/C++) </li></ul><ul><li>Address engineers’/scientists’ needs by providing data iterators </li></ul><ul><li>Iterators relieve the user from the need to learn XML, web services, parsing, etc... </li></ul><ul><li>Iterators </li></ul><ul><ul><li>Take couple of hours to learn </li></ul></ul><ul><ul><li>Targets power users (scientists/researcher) </li></ul></ul><ul><ul><li>Provides flexibility, performance </li></ul></ul><ul><ul><li>Requires minor coding changes in legacy codes </li></ul></ul><ul><li>XML, web services, parsers </li></ul><ul><ul><li>Take days, months to learn </li></ul></ul>
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