Long-established technological platforms are no longer able to address the data and processing requirements of the emerging data-intensive scientific paradigm. At the same time, modern distributed computational platforms are not yet capable of addressing the global, elastic, and networked needs of the scientific communities producing and exploiting huge quantities and varieties of data. A novel approach, the Hybrid Data Infrastructure, integrates several technologies, including Grid and Cloud, and promises to offer the necessary management and usage capabilities required to implement the 'Big Data' enabled scientific paradigm.

Managing big data through hybrid data infrastructures

Candela L;Castelli D;Pagano P
2012

Abstract

Long-established technological platforms are no longer able to address the data and processing requirements of the emerging data-intensive scientific paradigm. At the same time, modern distributed computational platforms are not yet capable of addressing the global, elastic, and networked needs of the scientific communities producing and exploiting huge quantities and varieties of data. A novel approach, the Hybrid Data Infrastructure, integrates several technologies, including Grid and Cloud, and promises to offer the necessary management and usage capabilities required to implement the 'Big Data' enabled scientific paradigm.
2012
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
Hybrid Data Infrastructures
Data-intensive scientific paradigm
Digital Libraries
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/257470
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