Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/42624
Title: A cloud architecture approximation to collaborative environments for image analysis applications
Authors: Quintana-Domínguez, Francisca 
Cuenca-Hernández, Carmelo 
Rodríguez Rodríguez, Abraham 
UNESCO Clasification: 120317 Informática
120399 Otras (especificar)
Keywords: Análisis de imágenes
Computación en la nube
Entornos colaborativos
Arquitectura software
Issue Date: 2015
Publisher: Springer 
Journal: Lecture Notes in Computer Science 
Conference: 15th International Conference on Computer Aided Systems Theory, (EUROCAST 2015)
Abstract: This work describes a flexible cloud computing architecture intended to be used in collaborative groups where each group member develops image analysis processes that are made available to the rest of the group in a flexible, robust and easy-to-use way. The cloud computing approximation makes the whole system elastically scalable and reliable to failures. Computing resources are provisioned when needed, used for a specific task and finally relinquished after the job is done. In the proposed architecture each individual process takes its input data from a queue, carries out the task and leaves the output in another queue. Building a complex task starting from individual ones is performed by chaining processes, just matching output and input queues of subsequent processes.
URI: http://hdl.handle.net/10553/42624
ISBN: 978-3-319-27339-6
ISSN: 0302-9743
DOI: 10.1007/978-3-319-27340-2_98
Source: Computer Aided Systems Theory – EUROCAST 2015. EUROCAST 2015. Lecture Notes in Computer Science, v. 9520 LNCS, p. 797-804
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