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Istituto di Scienza e Tecnologie dell'Informazione     
Carlini E., Dazzi P., Mordacchini M. An holistic approach for high-level programming of next-generation data-intensive applications targeting distributed heterogeneous computing environment. In: Cf 2016 - Cloud Forward Conference 2016: From Distributed to Complete Computing (Madrid, Spain, 18-20 October 2016). Proceedings, pp. 131 - 134. (Procedia in Computer Science, vol. 97). Elsevier, 2016.
 
 
Abstract
(English)
Data-intensive applications are one of the largest customers of high throughput computing environments. As clearly 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 different kinds, 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.
URL: http://www.sciencedirect.com/science/article/pii/S1877050916321068
DOI: 10.1016/j.procs.2016.08.290
Subject Cloud Computing
Data-intensive Applications
High-level Programming Models
C.2.4 COMPUTER-COMMUNICATION NETWORKS. Distributed Systems


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