移动通信2024，Vol.48Issue(3)：47-53,7.DOI:10.3969/j.issn.1006-1010.20240301-0002
基于放置分发阵列的云-边-端通算融合架构
Cloud-Edge-End Architecture for Integrated Communication and Computing Based on Placement Delivery Arrays
摘要
Abstract
As 6G technology advances,the collaboration among cloud,edge,and end nodes has become a focal point of current research.MapReduce,a parallel computing model tailored for large-scale data processing,is integral to this domain.This paper presents an architecture that integrates MapReduce with a cloud-edge-end framework,proposing a design based on placement delivery arrays for collaborative computing and transmission.This architecture capitalizes on the substantial computation and storage resources available at the cloud and edge layers.It deploys redundant computing tasks at the edge and end nodes and utilizes multicast coding to significantly reduce the communication load between cloud-edge and edge-end links.This approach facilitates integrated communication and computing across the cloud,edge,and end layers,efficiently addressing the computational demands of end nodes.关键词
放置分发阵列/云-边-端架构/MapReduceKey words
placement delivery array/cloud-edge-end architecture/MapReduce分类
电子信息工程引用本文复制引用
李寇,闫起发,周正春,唐小虎..基于放置分发阵列的云-边-端通算融合架构[J].移动通信,2024,48(3):47-53,7.基金项目
国家自然科学基金项目"融合通信与计算的信息理论研究"(12141108),"多用户安全的分布式存储系统编码缓存关键技术研究"(62101464) （12141108）
