Abstract
Seismic Data Server Application Service (SDSAS) is developed on the SEEGRID infrastructure in order to serve massive seismic data that are archived from national seismology centers using a high level interface that is easy to use and adapt. It serves official lists of earthquakes, stations and waveform data collected from various South Eastern European (SEE) countries. SDSAS contains three main components: (i) bash scripts to collect and to organize the seismic data by utilizing storage elements, LFC and metadata catalogue AMGA, (ii) C++ iterators that could be used by applications to access station data, earthquake data and information about seismic waveform files collected from regional SEE countries and (iii) a web services client in the form of C++ iterators to interface to comprehensive European seismology data from the ORFEUS datacenter. The client for the ORFEUS data is developed using the web services provided by the NERIES project. We provide usage examples for seismology data iterators and present various timings obtained from workflows that use SDSAS waveform objects.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
AMGA: Arda Metadata Catalogue Project, http://amga.web.cern.ch/amga.
Balman M, Suslu I, Kosar T (2008) Distributed data management with petashare in proceedings of ACM SIGAPP 15th Mardi Gras Conference, Baton Rouge, LA
Boost Date Time Library, http://www.boost.org/doc/libs/1_39_0/doc/html/date_time.html.
Bui H, Bui P, Flynn P, Thain D (2010) ROARS: a scalable repository for data intensive scientific computing, the third international workshop on Data Intensive Distributed Computing at ACM HPDC 2010
Curl Library, http://curl.haxx.se/.
DPM: Disk Pool Manager, http://www.gridpp.ac.uk/wiki/Disk_Pool_Manager.
Google Earth, http://earth.google.com/.
IRODS:Integrated Rule-Oriented Data System, http://www.irods.org.
Jordanovski L, Jakimovski B, Misev A (2009) Massively parallel seismic data wavelet processing using advanced grid workflows, ICT Innovations, Springer Lecture Notes, Ohrid
Katz DS, Allen G, Cortez R, Cruz-Neira C, Gottumukkala R, Greenwood ZD, Guice L, Jha S, Kolluru R, Kosar T et al (2009) Louisiana: a model for advancing regional e-research through cyberinfrastructure. Phil Trans R Soc 367(1897):2459–2469
Libxml2 library, http://xmlsoft.org/.
Munro C, Koblitz B, Santos N, Khan A (2006) Measurement of the LCG2 and glite file catalogue’s performance. IEEE Trans Nucl Sci 53(4):2228–2232
NERIES project, http://www.neries-eu.org/.
NERIES Web services, http://neriesdataportalblog.freeflux.net/webservices/.
Observatories and Research Facilities for European Seismology (ORFEUS), http://www.orfeus-eu.org.
SAGA: Simple API for Grid Applications, http://saga.cct.lsu.edu/.
SEE-GRID eInfrastructure for regional eScience, http://www.see-grid-sci.eu.
Seismology VO Applications, http://wiki.egee-see.org/index.php/SG_Seismology_VO.
SRB: Storage Resource Broker, http://en.wikipedia.org/wiki/Storage_Resource_Broker
Ülgen E, Akkaya A, Kocair Ç. Şener C (2009) seismic risk assessment a grid-based approach for the South-East European Region, See-Grid-Sci User Forum, Istanbul.
Yilmazer M, Bektaş B, Kozlovszky M (2009) Gridification of Fault Plain Solution (FPS) Application, See-Grid-Sci User Forum, Istanbul
Yilmazer M, Bektaş B, Özturan C, Arikan R, Geden MS (2009) Parallelization of Earthquake Location Finding (ELF) Application, See-Grid-Sci User Forum, Istanbul
Acknowledgements
This research is supported by the FP7SEEGRID-SCI project under the grant number 211338. We also thank the TUBITAK-ULAKBIM personnel for their help in uploading and registering millions of seismology data files on the grid and for making available TR-GRID.
Author information
Authors and Affiliations
Corresponding author
Additional information
Communicated by Emanouil Atanassov
Rights and permissions
About this article
Cite this article
Özturan, C., Bektaş, B. & Yilmazer, M. Seismic data server application service for SEEGRID seismology virtual organization. Earth Sci Inform 3, 219–228 (2010). https://doi.org/10.1007/s12145-010-0067-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12145-010-0067-y