Data intensive scientific analysis with grid computing

  • Authors:
  • Olivier Terzo;Lorenzo Mossucca;Manuela Cucca;Riccardo Notarpietro

  • Affiliations:
  • ARCAS-Advanced Research on Computing Architectures, Security Istituto Superiore Mario Boella, Via P. C. Boggio 61, Torino, Italy;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;Department of Electronics (DELEN) Politecnico di Torino, Corso Duca degli Abruzzi, 24, Torino, Italy

  • Venue:
  • International Journal of Applied Mathematics and Computer Science - SPECIAL SECTION: Efficient Resource Management for Grid-Enabled Applications
  • Year:
  • 2011

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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.