Large-scale IoT network offloading to cloud and fog computing : A fluid limit model
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.
| 2021 | |
| Beca de Maestría ANII | |
|
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 |
|
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
|
https://ieeexplore.ieee.org/document/9647124
https://hdl.handle.net/20.500.12008/34967 |
|
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| Sumario: | Presentado y publicado en 2021 IEEE URUCON, Montevideo, Uruguay, 24-26 nov. 2021, pp. 377-381. |
|---|
