大规模物联网网络卸载到云和雾计算:流体极限模型

G. Belcredi, L. Aspirot, P. Monzón, P. Belzarena
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摘要

本文将大规模物联网(IoT)网络建模为一个随机系统,该系统通过共享访问介质将计算卸载到雾和云。如果可能的话,用随机方法分析这个大型物联网系统是一个具有挑战性的问题。本文提出了利用随机过程的流体极限来近似物联网网络的动态。这种方法既可以对大系统进行分析,也可以找到系统的平衡点。随机模拟结果表明,流体模型是随机系统的一个很好的近似。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Large-Scale IoT Network Offloading to Cloud and Fog Computing: a Fluid Limit Model
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.
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