<abstract xml:lang="en" xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

Data intensive scientific analysis with grid computing

ARCAS—Advanced Research on Computing Architectures, Security Istituto Superiore Mario Boella, Via P. C. Boggio 61, Torino, Italy

Department of Electronics (DELEN) Politecnico di Torino, Corso Duca degli Abruzzi, 24, Torino, Italy

International Journal of Applied Mathematics and Computer Science

{"article-title":"Data intensive scientific analysis with grid computing"}

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...

Data intensive scientific analysis with grid computing

Online veröffentlicht: 22. Juni 2011

Seitenbereich: 219 - 228

DOI: https://doi.org/10.2478/v10006-011-0016-z

Schlüsselwörter
grid computing, GPS radio occultation, scheduler, agent, e-science

This content is open access.

Data intensive scientific analysis with grid computing

Online veröffentlicht: 22. Juni 2011

Seitenbereich: 219 - 228

DOI: https://doi.org/10.2478/v10006-011-0016-z

Schlüsselwörtergrid computing, GPS radio occultation, scheduler, agent, e-science

This content is open access.

Schlüsselwörter
grid computing, GPS radio occultation, scheduler, agent, e-science