首页 | 本学科首页   官方微博 | 高级检索  
     

工业物联网中大规模受损边缘计算网络修复机制
引用本文:田辉,伍浩,田洋,任建阳,崔亚娟,艾文宝,袁健华. 工业物联网中大规模受损边缘计算网络修复机制[J]. 通信学报, 2021, 0(4): 89-99
作者姓名:田辉  伍浩  田洋  任建阳  崔亚娟  艾文宝  袁健华
作者单位:北京邮电大学网络与交换技术国家重点实验室;北京邮电大学理学院
基金项目:国家自然科学基金资助项目(No.62071068);北京邮电大学优秀博士生创新基金资助项目(No.CX2019108)。
摘    要:针对工业物联网中边缘计算网络与其余子网的相互依赖特性所导致的网络大规模级联故障问题,考虑到网络修复初期的资源有限性,提出了一种联合考量计算需求与修复开销的网络修复机制.考虑到受损网络结构(拓扑关系与链路容量)和动态特征(边缘计算节点计算需求),基于节点计算量守恒定理构建了链路修复策略集与网络计算迁移的联合分析框架.基于...

关 键 词:工业物联网  边缘计算  网络修复  Benders分解算法  局部分支法

Recovery mechanism of large-scale damaged edge computing network in industrial Internet of things
TIAN Hui,WU Hao,TIAN Yang,REN Jianyang,CUI Yajuan,AI Wenbao,YUAN Jianhua. Recovery mechanism of large-scale damaged edge computing network in industrial Internet of things[J]. Journal on Communications, 2021, 0(4): 89-99
Authors:TIAN Hui  WU Hao  TIAN Yang  REN Jianyang  CUI Yajuan  AI Wenbao  YUAN Jianhua
Affiliation:(State Key Laboratory of Networking and Switching Technology,Beijing University of Posts and Telecommunications,Beijing 100876,China;School of Sciences,Beijing University of Posts and Telecommunications,Beijing 100876,China)
Abstract:Given the limited resources at early stages for recovery,a failure recovery mechanism of the edge computing network considering both computational demands and repair costs was proposed,which intends to tackle the problem of the high probability of large-scale cascading failure caused by the interdependence between the edge computing network and other subnetworks in industrial Internet of things(IIoT).Considering the network structure(topology and link capacity)and network dynamics(computational demands),a joint link recovery selection and computation migration optimization problem was formulated under the conservation of node computing requirements.By leveraging the Benders decomposition algorithm,the NP-hard problem was transformed into a main problem and a sub-problem,which were interdependent and could be solved in polynomial time through the approximation of cutting planes.A local branching method was further introduced to guarantee the non-increasing nature of the Benders upper bound,thus accelerating the convergence of Benders decomposition.Simulation results demonstrate that the proposed algorithm outperforms the conventional topology-based recovery algorithm in system utility,and can perform well in multiple scenarios.
Keywords:industrial Internet of things  edge computing  network recovery  Benders decomposition algorithm  local branching
本文献已被 维普 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号