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基于灾难预测多区域故障的虚拟光网络生存性映射
引用本文:刘焕淋,杜理想,陈勇,王展鹏.基于灾难预测多区域故障的虚拟光网络生存性映射[J].电子与信息学报,2020,42(7):1710-1717.
作者姓名:刘焕淋  杜理想  陈勇  王展鹏
作者单位:1.重庆邮电大学通信与信息工程学院 重庆 4000652.重庆邮电大学工业物联网与网络化控制教育部重点实验室 重庆 400065
基金项目:国家自然科学基金(51977021);重庆市自然科学基金面上项目(2019jcyj-msxmX0613)
摘    要:生存性虚拟光网络映射是提高光网络应对灾难故障的重要技术保障措施。为解决灾难性多区域故障导致弹性光网络的带宽容量损失问题,该文提出基于灾难预测故障模型的蚁群优化虚拟光网络映射 (DFM-ACO-VNM)算法。在该算法中,设计基于光节点资源和相邻链路的全局潜在故障概率的光节点排序映射准则,并设计启发式信息公式实现多区域故障下最小带宽容量损失的虚拟节点和虚拟链路协同映射。仿真结果表明,该文所提算法在多区域故障时能降低带宽容量损失,减少带宽阻塞率和提高频谱利用率。

关 键 词:弹性光网络    多区域故障    生存性映射    蚁群优化    带宽容量损失
收稿时间:2019-07-25

Disaster Prediction-based Survivable Virtual Optical Network Mapping for Multi-Area Faults
Huanlin LIU,Lixiang DU,Yong CHEN,Zhanpeng WANG.Disaster Prediction-based Survivable Virtual Optical Network Mapping for Multi-Area Faults[J].Journal of Electronics & Information Technology,2020,42(7):1710-1717.
Authors:Huanlin LIU  Lixiang DU  Yong CHEN  Zhanpeng WANG
Affiliation:1.School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China2.Key Laboratory of Industrial Internet of Things and Networked Control, Ministry of Education, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
Abstract:Survivable virtual optical network mapping is an important technology to improve the optical network response to disaster failures. In order to solve the problem of bandwidth capacity loss caused by multi-area faults resulted from disasters in Elastic Optical Networks (EONs), a multi-area disaster fault model of survivable virtual network based on risk assessment is established, and a Disaster Fault Model based Ant Colony Optimization for Virtual Network Mapping (DFM-ACO-VNM) algorithm is proposed in the paper. An optical node ranking mapping criterion based on node resources and global potential failure probability of adjacent links in EONs is designed. Then, a heuristic information formula is designed to realize cooperative mapping of virtual nodes and virtual links with minimum bandwidth capacity loss under multi-area faults. The simulation results show that the proposed algorithm can decrease the bandwidth capacity loss, reduce the bandwidth blocking probability and improve the spectrum utilization in multi-area faults.
Keywords:
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