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面向任务协同的云端融合计算架构研究
引用本文:周海航,姚建国,刘青春.面向任务协同的云端融合计算架构研究[J].航空电子技术,2021,52(1):1-9.
作者姓名:周海航  姚建国  刘青春
作者单位:上海交通大学,上海 200240 ;;中国航空无线电电子研究所,上海 200233
摘    要:以有人机/无人机自组云为场景,研究了基于云数据中心、有人机和无人机任务协同的云端融合任务协同处理架构,在该架构中,有人机作为边缘计算处理节点,无人机作为端节点。通过分层设计,将基于无人机自组云的云端融合架构自顶往下划分为用户应用层、组件服务层、资源抽象层、操作系统层、物理资源层五个层级,并对各层级进行功能划分设计。最后通过典型实例仿真试验做了架构性验证。

关 键 词:协同任务  云端融合  计算架构
收稿时间:2020/11/10 0:00:00
修稿时间:2020/12/8 0:00:00

Research on Cloud Edge Integration Computing Architecture for Task Collaboration
ZHOU Hai-hang,YAO Jian-guo,LIU Qing-chun.Research on Cloud Edge Integration Computing Architecture for Task Collaboration[J].Avionics Technology,2021,52(1):1-9.
Authors:ZHOU Hai-hang  YAO Jian-guo  LIU Qing-chun
Institution:Shanghai Jiao Tong University, Shanghai 200240, China;Shanghai Jiao Tong University, Shanghai 200241, China; .China National Aeronautical Radio Electronics Research Institute, Shanghai 200233, China
Abstract:Taking network of UAV (Unmanned Aerial Vehicle) as the cloud-edge integration computing scenario, a three-layer task coordination mechanism is designed between remote cloud, MAV (Manned Aerial Vehicle) and UAVs. The MAV is considered as the edge processing node in the cloud-edge integration computing architecture and the UAV is considered as the edge node. Through layered design, the cloud-edge integration computing architecture based on UAV can be divided into ?ve levels from top to bottom: user application layer, component service layer, resource abstraction layer, operating system layer and physical resource layer, and the functional division design of each level is carried out. Finally, the proposed architecture is evaluated by an example.
Keywords:task coordination  cloud-edge integration  computing architecture
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