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Managing big data through hybrid data infrastructures

Academic Article
Publication Date:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Hybrid Data Infrastructures; Data-intensive scientific paradigm; Digital Libraries
List of contributors:
Pagano, Pasquale; Candela, Leonardo; Castelli, Donatella
Authors of the University:
CANDELA LEONARDO
PAGANO PASQUALE
Handle:
https://iris.cnr.it/handle/20.500.14243/257470
Full Text:
https://iris.cnr.it//retrieve/handle/20.500.14243/257470/43895/prod_275224-doc_77937.pdf
Published in:
ERCIM NEWS
Journal
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Overview

URL

http://ercim-news.ercim.eu/en89/special/managing-big-data-through-hybrid-data-infrastructures
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