肖兵1,
陈施思1,
陈嘉勋1
1.空军预警学院预警情报系 武汉 430019
2.国防科技大学信息通信学院 武汉 430010
基金项目:国家自然科学基金(61502522)
详细信息
作者简介:刘凤增：男，1987年生，讲师，博士生，研究方向为系统工程、复杂网络
肖兵：女，1966年生，博士，教授，博士生导师，研究方向为军事信息系统
陈施思：女，1988年生，硕士，讲师，研究方向为军事信息系统
陈嘉勋：女，1995年生，硕士生，研究方向为军事信息系统建模与仿真
通讯作者:刘凤增 fengzeng_liu@126.com
中图分类号:TP393计量
文章访问数:1516
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被引次数:0
出版历程
收稿日期:2019-07-01
修回日期:2019-10-30
网络出版日期:2020-02-07
刊出日期:2020-07-23
A Preferential Recovery Method of Interdependent Networks under Load
Fengzeng LIU1, 2,,,Bing XIAO1,
Shisi CHEN1,
Jiaxun CHEN1
1. Department of Early-Warning Intelligence, Air Force Early-Warning Academy, Wuhan 430019, China
2. College of Information and Communication, National University of Defense Technology, Wuhan 430010, China
Funds:The National Natural Science Foundation of China (61502522)
摘要
摘要:优选节点实施恢复是控制相依网络级联失效的有效措施。针对以往恢复模型未考虑节点负载的情况，该文首先分析了包含依赖失效和过载失效的级联失效过程，构建了负载作用下相依网络恢复模型。然后，基于共同边界节点的结构和动力学属性，提出一种基于容量和连接边的择优恢复(PRCCL)方法。实验结果表明，在无标度相依网络中，PRCCL方法恢复效果明显好于基准方法，恢复时间更短，恢复后的网络具有更高的平均度和鲁棒性；在Power网和Internet网构成的相依网络中，PRCCL方法恢复效果同样优于基准方法；PRCCL方法的优势与恢复比例、负载控制参数成正比，与容忍系数成反比。实验结果验证了PRCCL方法的有效性，对于现实中相依网络恢复工作具有科学指导价值。
关键词:相依网络/
网络恢复/
级联失效/
负载作用
Abstract:Optimal node recovery is an effective measure to control cascading failure of interdependent networks. In view of the fact that the previous recovery model does not consider the node load, this paper analyzes first the cascading failure process including dependent failure and overload failure, and constructs the recovery model of interdependent network under load. Then, considering the structure and dynamic properties of the mutual boundary nodes, a Preferential Recovery method based on Capacity and Connectivity Link (PRCCL) is proposed. Experiment results show that in scale-free independent networks, the recovery effect of PRCCL is better than benchmark methods, the recovery time is shorter, and the recovered networks have higher average degree and robustness. In the independent network composed of Power grid and Internet network, the recovery effect of PRCCL method is also better than the benchmark methods. The advantages of PRCCL are proportional to the recovery ratio, load control parameters and inversely proportional to the tolerance coefficient. The experimental results verify the validity of the PRCCL method, which has scientific guidance value for the recovery of interdependent networks in reality.
Key words:Interdependent networks/
Network recovery/
Cascading failure/
Load effect
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