Título:
Large-scale IoT network offloading to cloud and fog computing : A fluid limit model
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Autor:
Belcredi, Gonzalo
Aspirot, Laura
Monzón, Pablo
Belzarena, Pablo
Aspirot, Laura
Monzón, Pablo
Belzarena, Pablo
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Tipo de documento:
Preprint
Editor:
Palabras clave:
Cloud computing
Computational modeling
Stochastic systems
Fluid dynamics
Stochastic processes
Large-scale systems
Internet of Things
Edge Computing
Fog Computing
Computation Offloading
Markov Process
Fluid Limit
Switched Systems
Wireless Communications
Computational modeling
Stochastic systems
Fluid dynamics
Stochastic processes
Large-scale systems
Internet of Things
Edge Computing
Fog Computing
Computation Offloading
Markov Process
Fluid Limit
Switched Systems
Wireless Communications
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Año de publicación:
2021
Contenido:
Resumen:
This paper models a large-scale Internet of Things (IoT) network as a stochastic system that offloads computing towards Fog and Cloud via a shared access medium. The analysis of this large IoT system by stochastic methods is a challenging problem, if possible, to solve. This paper proposes the approximation of the dynamic of the IoT network via the fluid limit of the stochastic process. This method allows the analysis of the large-scale system and also allows finding the equilibrium point of the system. The results obtained with stochastic simulations show that the fluid model is an excellent approximation of the stochastic system.
Descripción:
Presentado y publicado en 2021 IEEE URUCON, Montevideo, Uruguay, 24-26 nov. 2021, pp. 377-381.
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Financiadores:
Beca de Maestría ANII
Citación:
Belcredi, G., Aspirot, L., Monzón, P. y otros. Large-scale IoT network offloading to cloud and fog computing : A fluid limit model [Preprint]. Publicado en: 2021 IEEE URUCON, Montevideo, Uruguay, 24-26 nov 2021, pp. 377-381. DOI 10.1109/URUCON53396.2021.9647124
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Departamento académico:
Sistemas y Control
Telecomunicaciones
Telecomunicaciones
Grupo de investigación:
Análisis de Redes, Tráfico y Estadísticas de Servicios
Análisis de Redes, Tráfico y Estadísticas de Servicios
Análisis de Redes, Tráfico y Estadísticas de Servicios
Licencia:
Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| BAMB21.pdf | Preprint | 2.88 MB | Adobe PDF |