Listar por autor "Torres, Daniel R."
Mostrando ítems 1-2 de 2
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An open source framework based on Kafka-ML for Distributed DNN inference over the Cloud-to-Things continuum
Torres, Daniel R.; Martín-Fernández, Cristian
; Díaz, Manuel; Rubio-Muñoz, Bartolomé (Elsevier, 2021-06-16)
The current dependency of Artificial Intelligence (AI) systems on Cloud computing implies higher transmission latency and bandwidth consumption. Moreover, it challenges the real-time monitoring of physical objects, e.g., ... -
Managing and Deploying Distributed and Deep Neural Models Through Kafka-ML in the Cloud-to-Things Continuum
Carnero, Alejandro; Martín-Fernández, Cristian; Torres, Daniel R.; Rubio-Muñoz, Bartolomé; Díaz-Rodríguez, Manuel (IEEE, 2021-08)
The Internet of Things (IoT) is constantly growing, generating an uninterrupted data stream pipeline to monitor physical world information. Hence, Artificial Intelligence (AI) continuously evolves, improving life quality ...