Data intensive scientific analysis with grid computing

Olivier Terzo; Lorenzo Mossucca; Manuela Cucca; Riccardo Notarpietro

doi:10.2478/v10006-011-0016-z

Abstract

At the end of September 2009, a new Italian GPS receiver for radio occultation was launched from the Satish Dhawan Space Center (Sriharikota, India) on the Indian Remote Sensing OCEANSAT-2 satellite. The Italian Space Agency has established a set of Italian universities and research centers to implement the overall processing radio occultation chain. After a brief description of the adopted algorithms, which can be used to characterize the temperature, pressure and humidity, the contribution will focus on a method for automatic processing these data, based on the use of a distributed architecture. This paper aims at being a possible application of grid computing for scientific research.

References

ASI (2010). Italian Space Agency http://www.asi.it/
Search in Google Scholar
Berman, F., Fox, G. and Hey A. (2003). Grid Computing Making the Global Infrastructure a Reality, Wiley, Chichester, pp. 117-170.
Search in Google Scholar
Buyya, R., Abramson, D. and Giddy, J. (2000). NIMROD/G: An architeture of a resource management and scheduling system in a global computational grid, High Performance Computing Asia 2000, Beijing, China, pp. 283-289.
Search in Google Scholar
Dimitriadou, S. and Karatza, H. (2010). Job scheduling in a distributed system using backfilling with inaccurate runtime computation, International Conference on Complex, Intelligent and Software Intensive System, Washington, DC, USA, pp. 329-336.
Search in Google Scholar
Foster, I. and Kesselman C. (2003). The Grid 2: Blueprint for a New Computing Infrastructure, Morgan Kaufmann, San Francisco, CA, pp. 38-63.
Search in Google Scholar
Globus (2010a). The globus alliance http://www.globus.org/
Search in Google Scholar
Globus (2010b). The globus consortium http://www.globusconsortium.org/
Search in Google Scholar
Gradwell, P. (2002). Grid scheduling with agents, Proceedings of the Second International Joint Conference on Autonomous Agents & Multi-Agent Systems (AAMAS 2003), Melbourne, Australia, pp. 229-245.
Search in Google Scholar
ISRO (2010). Indian space research organization http://www.isro.org/
Search in Google Scholar
Kurowski, K., Nabrzyski, J.,A., Oleksiak, A. and Weglarz, J. (2006). Scheduling jobs on the grid multicriteria approach, Computational Methods in Science and Technology12(2): 123-138.10.12921/cmst.2006.12.02.123-138
Search in Google Scholar
Kursinski, E.R., Hajj, G.A., Schofield J.T., Linfield R.P., and Hardy K.R. (1997). Observing Earth's atmosphere with radio occultation measurements using the Global Positioning System, Journal of Geophysical Research102(D19): 23.429-23.465.
Search in Google Scholar
Leonid O., Rupak B., Hongzhang S. and Warren S. (2004). Job scheduling in a heterogeneous grid environment, Lawrence Berkeley National Laboratory http://www.escholarship.org/uc/item/6659c4xj
Search in Google Scholar
Luntama, J.P., Kirchengast, G., Borsche, M., Foelsche, U., Steiner, A., Healy, S., von Engeln, A., O'Clerigh, E. and Marquardt, C. (2008). Prospects of the EPS GRAS mission for operational atmospheric applications, Bulletin of the American Meteorological Society89(12): 1863.10.1175/2008BAMS2399.1
Search in Google Scholar
Melbourne, W.G., Davis, E.S., Duncan, C.B., Hajj, G.A., Hardy, K.R., Kursinski, E.R., Meehan, T.K., Young, L.E. and Yunck T.P. (1994). The application of spaceborne GPS to atmospheric limb sounding and global change monitoring, JPL Publication, pp: 18-94.
Search in Google Scholar
Wickert J., Schmidt T., Beyerle G., Knig R., Reigber C. and Jakowski N. (2004). The radio occultation experiment aboard CHAMP: Operational data analysis and validation of vertical atmospheric profiles, Journal of the Meteorological Society of Japan82(1B): 381-395.10.2151/jmsj.2004.381
Search in Google Scholar

Data intensive scientific analysis with grid computing

Abstract

Paradigm

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