Fog Computing is a new computational paradigm that emerges from the need of reducing the network usage and latency in Internet of Things (IoT). Fog can be understood as a continuum between the Cloud layer and the IoT users that allows to execute applications or store/process data in the networks devices of the infrastructure. This paper aims to review current trends in the use of Genetic Algorithm for the optimization of resource management in Fog architecture. Related papers are classified concerning the optimization scope and the genetic. Finally, future research lines are also presented.
翻译:雾计算系统是一个新的计算模式,它产生于减少“物”互联网网络使用率和延迟度的需要,可以被理解为云层用户与“云层”用户之间的一个连续体,可以在基础设施的网络设备中应用应用或储存/处理数据,本文件旨在审查目前利用遗传地算法优化雾结构资源管理的趋势,对关于优化范围和基因的相关文件进行了分类,最后还介绍了今后的研究路线。