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An holistic approach for high-level programming of next-generation data-intensive applications targeting distributed heterogeneous computing environment

Data-intensive applications are one of the largest customers of high throughput computing environments. Asclearly shown by the BigData raise, there is a widely recognised urge for processing large amount of data, universallyconsidered the “new oil”, from which to extract wisdom, knowledge and, more in general, information of very di erentkinds, ranging from commercial to financial, from medical to political hints. This extreme intrinsic richness andheterogeneity of data is paired with the extreme complexity in its storing and processing.

Cloud Forward Conference (CF 2016), Madrid, Spain, 2016

Autori esterni: Emanuele Carlini, Patrizio Dazzi (ISTI-CNR, Pisa, Italy)
Autori IIT:

Tipo: Contributo in atti di convegno
Area di disciplina: Information Technology and Communication Systems

File: CloudForward2016.pdf

Attività: Future Internet