A Cloud Architecture Approximation to Collaborative Environments for Image Analysis Applications

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.

Authors and Affiliations

1. Instituto Universitario de Ciencias Y Tecnologías Cibernéticas, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017, Las Palmas de Gran Canaria, Spain

   Francisca Quintana-Domínguez & Abraham Rodríguez-Rodríguez

2. Departamento de Informática y Sistemas, Universidad de Las Palmas de Gran Canaria, Campus de Tafira, 35017, Las Palmas de Gran Canaria, Spain

   Carmelo Cuenca-Hernández

Corresponding author

Correspondence to Francisca Quintana-Domínguez .

Editors and Affiliations

1. de Gran Canaria, Universidad de las Palmas de Gran Canari, Las Palmas de Gran Canaria, Spain

   Roberto Moreno-Díaz

2. Johannes Kepler University Linz, Linz, Austria

   Franz Pichler

3. de Gran Canaria, Universidad de las Palmas de Gran Canari, Las Palmas de Gran Canaria, Spain

   Alexis Quesada-Arencibia

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