基于多接入边缘计算的任务卸载和资源分配策略研究  

Research on Task Offloading and Resource Allocation Strategy Based on Multi-access Edge Computing

作　　者：许波[1] 陈礼波[1] 张鹏[2] 曹童杰 Xu Bo;Chen Libo;Zhang Peng;Cao Tongjie(China Information Technology Designing&Consulting Institute Co.,Ltd.,Beijing 100048,China;China United Network Communications Group Co.,Ltd.,Beijing 100033,China)

机构地区：[1]中讯邮电咨询设计院有限公司,北京100048 [2]中国联合网络通信集团有限公司,北京100033

出　　处：《邮电设计技术》2022年第5期66-70,共5页Designing Techniques of Posts and Telecommunications

摘　　要：随着移动通信技术和工业互联网的飞速发展,移动设备端日渐庞大的数量和复杂的应用对大量计算密集和低时延提出了要求,也因此引出了基于多接入边缘计算的任务卸载概念。这种任务卸载方式能够有效地利用边缘云服务器资源,将复杂的计算任务卸载至邻近的低消耗边缘服务器,提高任务计算效率和更高的服务质量。提出了一种基于拓扑结构的任务卸载策略和边缘资源分配策略,旨在解决边缘计算场景中,任务卸载效率低、资源利用率不足等问题。With the rapid development of mobile communication technology and industrial Internet,the increasingly large number and complex applications of mobile devices put forward requirements for a large number of computationally intensive and low latency,which leeds to the concept of task offloading based on multi-access edge computing.This task offloading method can effectively use edge cloud server resources,offload complex computing tasks to neighboring low-consumption edge servers,which improves task computing efficiency and higher service quality.It proposes a topology-based task offloading strategy and edge resource allocation strategy,which aims to solve the problems of low task offloading efficiency and insufficient resource utilization in edge computing scenarios.

关 键 词：多接入边缘计算 任务卸载 资源分配 

分 类 号：TN919[电子电信—通信与信息系统]