Proceedings of the Workshop on Fog Computing and the IoT 2019
DOI: 10.1145/3313150.3313225
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Fogification of industrial robotic systems

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Cited by 14 publications
(8 citation statements)
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“…This enhancement is important for safety and dependability aspects, e.g., during the redeployment of a failed application. c) Real-time Aware Service Monitoring: Due to imperfections of the underlying operating systems (e.g., Linux) that may not provide accurate temporal isolation for virtualized environments, the orchestrator must monitor the quality of service delivered by the virtualized applications (e.g., deadline misses or lateness 3 ). The orchestrator should use this information during the resource selection phase.…”
Section: B Real-time Aware Orchestrationmentioning
confidence: 99%
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“…This enhancement is important for safety and dependability aspects, e.g., during the redeployment of a failed application. c) Real-time Aware Service Monitoring: Due to imperfections of the underlying operating systems (e.g., Linux) that may not provide accurate temporal isolation for virtualized environments, the orchestrator must monitor the quality of service delivered by the virtualized applications (e.g., deadline misses or lateness 3 ). The orchestrator should use this information during the resource selection phase.…”
Section: B Real-time Aware Orchestrationmentioning
confidence: 99%
“…Dependability: While fog-based systems address some of the limitations of existing architectures [3], they introduce new challenges for ensuring dependability attributes, for instance, reliability and availability. For example, the fog-based software architecture demands frequent data exchange between the different nodes of the fog layer to accomplish a functionality such as trajectory generation and control if we assume that the trajectory generators are placed on a different fog nodes.…”
Section: E Dependability and Safetymentioning
confidence: 99%
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“…Es decir, tiene las mismas características que el enfoque original, con la diferencia de que el editor está en la nube y es accesible desde un protocolo web a distancia. Una variación de este enfoque se encuentra propuesta en el documento de Salman et al, en (Salman et al, 2019), el autor plantea utilizar la computación en la niebla en los SR industriales, la cual consiste en reemplazar las limitaciones de cómputo de los controladores de los robots, y trasladarlo a la capa niebla. Aunque, en este documento se plantea una arquitectura, pero no se implementa con un caso específico de estudio.…”
Section: Arquitectura Orientada a Servicios (Soa)unclassified