基于放置分发阵列的云-边-端通算融合架构OA

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.