Ophidia: Toward big data analytics for eScience

Procedia Computer Science

Volumn 18, Issue , 2013, Pages 2376-2385

  Fiore, S ^a,b   D'Anca, A ^a   Palazzo, C ^a,b   Foster, I ^c   Williams, D N ^d   Aloisio, G ^a,b  

^a CENTRO EURO MEDITERRANEO SUI CAMBIAMENTI CLIMATICI   (Italy)

^b UNIVERSITY OF SALENTO   (Italy)

^c ARGONNE NATIONAL LABORATORY   (United States)

^d LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

Author keywords

Big data; Data warehouse; OLAP framework; Parallel computing; Scientific data management

Indexed keywords

EID: 84896941038     PISSN: 18770509     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2013.05.409     Document Type: Conference Paper

References (20)

1. S. Fiore and G. Aloisio, Special section: Data management for eScience. Future Generation Computer System 27(3): 290-291 (2011).
2. Julio Saez-Rodriguez, et al., Flexible informatics for linking experimental data to mathematical models via DataRail. Bioinformatics 24, 6 (March 2008), 840-847, 2008, doi-10.1093/bioinformatics/btn018 http://dx.doi.org/10.1093/bioinformatics/btn018.
3. William Hendrix et al., Community Dynamics and Analysis of Decadal Trends in Climate Data, (ICDM Climate 2011).
4. Rob Latham, et al., A case study for scientific I/O: improving the FLASH astrophysics code. Comput. Sci. Disc. 5 (2012) 015001.
5. J. Dongarra, P. Beckman, et al., The International Exascale Software Project roadmap. International J. High Performance Computing Apps. 25, no. 1, 3-60 (2011), ISSN 1094-3420 doi: 10.1177/1094342010391989.
6. G. Aloisio and S. Fiore, Towards exascale distributed data management, International J. of High Performance Computing Apps. 23, no. 4, 398-400 (2009) doi: 10.1177/1094342009347702.
7. J. Taylor, Defining eScience http://www.nesc.ac.uk/nesc/define.html.
8. M. Stonebraker, et al., The architecture of SciDB. In Proceedings of the 23rd international conference on Scientific and statistical database management, edited by J. B. Cushing, J. French, and S. Bowers (Eds.). Springer-Verlag, Berlin, Heidelberg, 2011, pp. 1-16.
9. P. Baumann, et al., The multidimensional database system RasDaMan. SIGMOD Rec. 27, no. 2, 575-577 (June 1998). doi:10.1145/276305.276386 http://doi.acm.org/10.1145/276305.276386.
10. Climate Data Operators (CDO) - https://code.zmaw.de/projects/cdo.
11. C. S. Zender, Analysis of self-describing gridded geoscience data with netCDF Operators (NCO), Environmental Modelling & Software, 23, no. 10-11, pp. 1338-1342, 2008.
12. P. Tsai and B.E. Doty, A Prototype Java interface for the Grid Analysis and Display System (GrADS). In Fourteenth International Conference on Interactive Information and Processing Systems, Phoenix, Arizona, 1998.
13. The NCAR Command Language (Version 6.0.0) [Software]. (2012). Boulder, Colorado: UCAR/NCAR/CISL/VETS. http://dx.doi.org/10.5065/D6WD3XH5.
14. J. Han and M. Kamber, Data mining: Concepts and Techniques, Morgan Kaufmann Publishers, 2005.
15. M. Golfarelli. The DFM: A conceptual model for data warehouse. In Encyclopedia of Data Warehousing and Mining (2nd Edition), John Wang (Ed.), IGI Global, pp. 638-645, 2008.
16. K.E. Taylor, R. J. Stouffer, and G. A. Meehl 2012 An overview of CMIP5 and the experiment design, Bulletin of the American Meteorological Society 93, no. 4, 485-498 (2012), doi:10.1175/BAMS-D-11-00094.1, http://journals.ametsoc. org/doi/abs/10.1175/BAMS-D-11-00094.1.
17. R. K. Rew and G. P. Davis, The Unidata netCDF: Software for scientific data access. In 6th Int. Conference on Interactive Information and Processing Systems for Meteorology, Oceanography, and Hydrology, American Meteorology Society, pp. 33-40, February 1990.
18. The GNU Scientific Library (GSL) http://www.gnu.org/software/gsl/.
19. Satish Balay, Jed Brown, Kris Buschelman, William D. Gropp, et al., PETSc web page http://www.mcs.anl.gov/petsc, 2012.
20. OGC Web Processing Service, http://www.opengeospatial.org/standards/wps.