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
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