Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/53222
| Título: | A hybrid cloud computing approach for intelligent processing and storage of scientific data | Autores/as: | Horat, David Quevedo, Eduardo Quesada-Arencibia, Alexis |
Clasificación UNESCO: | 120304 Inteligencia artificial | Fecha de publicación: | 2013 | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 14th International Conference on Computer Aided Systems Theory (EUROCAST) 14th International Conference on Computer Aided Systems Theory, EUROCAST 2013 |
Resumen: | This paper covers a new approach on Cloud Computing for Scientific Data Storage and Processing using a hybrid system with both on-site and on-the-cloud systems. The system analyzes use cases which are not resolved by either one of the single systems themselves. | URI: | http://hdl.handle.net/10553/53222 | ISBN: | 978-3-642-53855-1 | ISSN: | 0302-9743 | DOI: | 10.1007/978-3-642-53856-8-23 | Fuente: | Moreno-Díaz R., Pichler F., Quesada-Arencibia A. (eds) Computer Aided Systems Theory - EUROCAST 2013. Lecture Notes in Computer Science, [0302-9743], v. 8111, p. 182-188. Springer, Berlin, Heidelberg |
| Colección: | Actas de congresos |
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