Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/53222
| Title: | A hybrid cloud computing approach for intelligent processing and storage of scientific data | Authors: | Horat, David Quevedo, Eduardo Quesada-Arencibia, Alexis |
UNESCO Clasification: | 120304 Inteligencia artificial | Issue Date: | 2013 | Journal: | Lecture Notes in Computer Science | Conference: | 14th International Conference on Computer Aided Systems Theory (EUROCAST) 14th International Conference on Computer Aided Systems Theory, EUROCAST 2013 |
Abstract: | 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 | Source: | 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 |
| Appears in Collections: | Actas de congresos |
Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.