雾计算的任务卸载在移动终端的研究  

Research on Task Offloading of Fog Computing in Mobile Terminals

作　　者：侯严严 陆贝妮 薛欢欢 

机构地区：[1]嘉兴南湖学院信息工程学院,浙江 嘉兴

出　　处：《计算机科学与应用》2022年第2期315-322,共8页Computer Science and Application

摘　　要：针对移动云计算存在的传输延迟高和核心网络负载严重等问题,主流的解决方案是通过计算下沉的方式在路侧单元上部署边缘服务器,这种卸载到边缘服务器或路由器的计算模式称为雾计算。本文提出了两种雾计算环境下的任务卸载算法:泛洪算法和基于阈值的切换算法,并通过Matlab R2017a平台对这两种卸载算法进行分析,并与本地执行和卸载到云服务器执行进行比较。结果表明雾计算环境下的任务卸载算法不仅能减轻云服务器的负载,而且能够大大缩短任务的完成时间。雾计算环境下,基于阈值的切换算法比泛洪算法更好地节约任务完成时间。In order to solve the problems of high transmission delay and high core network in mobile cloud computing, the main solution is to deploy edge servers on roadside units by calculating sinking. This computing mode of offloading to edge servers or routers is called fog computing. In this paper, two kinds of task offloading algorithms in fog computing environment, flooding algorithm and threshold-based switching algorithm, are proposed. The two kinds of offloading algorithms are analyzed on the platform of Matlab R2017a, and compared with local execution and offloading to cloud server execution. The results show that the task offloading algorithm in fog computing environment can not only reduce the load of cloud servers, but also effectively shorten the task completion time. Threshold-based switching algorithm in fog computing environment can better reduce task completion time especially.

关 键 词：雾计算 任务卸载 泛洪算法 计算切换 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]