Data intensive scientific analysis with grid computing
Olivier Terzo ; Lorenzo Mossucca ; Manuela Cucca ; Riccardo Notarpietro
International Journal of Applied Mathematics and Computer Science, Tome 21 (2011), p. 219-228 / Harvested from The Polish Digital Mathematics Library

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.

Publié le : 2011-01-01
EUDML-ID : urn:eudml:doc:208042
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     author = {Olivier Terzo and Lorenzo Mossucca and Manuela Cucca and Riccardo Notarpietro},
     title = {Data intensive scientific analysis with grid computing},
     journal = {International Journal of Applied Mathematics and Computer Science},
     volume = {21},
     year = {2011},
     pages = {219-228},
     language = {en},
     url = {http://dml.mathdoc.fr/item/bwmeta1.element.bwnjournal-article-amcv21i2p219bwm}
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Olivier Terzo; Lorenzo Mossucca; Manuela Cucca; Riccardo Notarpietro. Data intensive scientific analysis with grid computing. International Journal of Applied Mathematics and Computer Science, Tome 21 (2011) pp. 219-228. http://gdmltest.u-ga.fr/item/bwmeta1.element.bwnjournal-article-amcv21i2p219bwm/

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