摘要
在车联网中,任务卸载可以有效地解决车辆的存储资源和计算资源不足的问题,单个的MEC(mobile edge computing)服务器通常无法满足车辆密集区域的任务卸载需求。针对上述不足,设计了一种多MEC服务器的联合卸载方案(joint offloading method based on task urgency,JOMTU)。车辆递交任务卸载请求给本地MEC服务器时,后者在负载严重的情况下,会根据任务的紧急性和服务器负载情况等因素,将任务发送给附近MEC服务器处理以满足任务的截止日期要求。仿真实验结果表明,与传统的方案相比,所提出的方案将系统的整体任务失败率降低17%,并且优化了整个网络的服务器负载情况、增加了网络的可靠性。
In the VANETs,task offloading can effectively solve the problem of insufficient resource storage and computing resources of vehicles,but a stand-alone mobile edge computing(MEC)server is usually unable to meet the task offloading requirements in vehicle-intensive areas.Aiming at the above shortcoming,a joint offloading method based on task urgency is proposed.When the vehicle offloads the task to the local MEC server,the local MEC server will send the task to the nearby MEC server to meet the task deadline according to the task urgency,deadline and the load of servers.The simulation results show that compared with the traditional scheme,the proposed scheme reduces the overall task failure rate of the whole system by 17%,optimizes the server load of the whole network and increases the reliability of the network.
作者
张建军
代帅康
张本宏
Zhang Jianjun;Dai Shuaikang;Zhang Benhong(School of Computer and Information,Hefei University of Technology,Hefei 230601,China)
出处
《电子测量与仪器学报》
CSCD
北大核心
2020年第11期66-71,共6页
Journal of Electronic Measurement and Instrumentation
基金
安徽省科技重大专项(201903a05020049)
国家自然科学基金(61701005)资助项目
