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.
CITATION STYLE
Quintana-Domínguez, F., Cuenca-Hernández, C., & Rodríguez-Rodríguez, A. (2015). A cloud architecture approximation to collaborative environments for image analysis applications. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9520, pp. 797–804). Springer Verlag. https://doi.org/10.1007/978-3-319-27340-2_98
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