负载目标下基于延迟分配的多层级相依网络级联失效模型
2024,46(5):79-89
张家瑞
国防科技大学 智能科学学院, 湖南 长沙 410073，zjr888@stu.xjtu.edu.cn,nudtjhuang@hotmail.com
黄健
国防科技大学 智能科学学院, 湖南 长沙 410073，zjr888@stu.xjtu.edu.cn,nudtjhuang@hotmail.com
高家隆
国防科技大学 智能科学学院, 湖南 长沙 410073
国防科技大学 智能科学学院, 湖南 长沙 410073，zjr888@stu.xjtu.edu.cn,nudtjhuang@hotmail.com
黄健
国防科技大学 智能科学学院, 湖南 长沙 410073，zjr888@stu.xjtu.edu.cn,nudtjhuang@hotmail.com
高家隆
国防科技大学 智能科学学院, 湖南 长沙 410073
摘要：
在负载具有目标节点的多层级相依网络中,为了避免大规模级联失效的发生、增加网络鲁棒性、提高负载完成效率,提出一种可调参数的级联失效模型。该模型设置了新的初始负载和节点容量,构建了负载延迟分配机制,在负载分配的异质性和均匀性基础上制定了负载重分配规则。解析分析模型的级联失效条件,并通过WS-BA相依网络进行了仿真实验,结果表明,在网络容量一定条件下,合理调节异质性参数和均匀性参数可以提高网络的鲁棒性和效率。
在负载具有目标节点的多层级相依网络中,为了避免大规模级联失效的发生、增加网络鲁棒性、提高负载完成效率,提出一种可调参数的级联失效模型。该模型设置了新的初始负载和节点容量,构建了负载延迟分配机制,在负载分配的异质性和均匀性基础上制定了负载重分配规则。解析分析模型的级联失效条件,并通过WS-BA相依网络进行了仿真实验,结果表明,在网络容量一定条件下,合理调节异质性参数和均匀性参数可以提高网络的鲁棒性和效率。
基金项目：
国家自然科学基金资助项目(61906202)
国家自然科学基金资助项目(61906202)
Cascading failure model for multi-level interdependent networks based on delay distribution under load target
ZHANG Jiarui
College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China,zjr888@stu.xjtu.edu.cn,nudtjhuang@hotmail.com
HUANG Jian
College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China,zjr888@stu.xjtu.edu.cn,nudtjhuang@hotmail.com
GAO Jialong
College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China,zjr888@stu.xjtu.edu.cn,nudtjhuang@hotmail.com
HUANG Jian
College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China,zjr888@stu.xjtu.edu.cn,nudtjhuang@hotmail.com
GAO Jialong
College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China
Abstract：
In the multi-level interdependent network where the target node was under load, in order to prevent the occurrence of large-scale cascading failures, enhance the robustness of the network and improve the efficiency of load completion, a cascading failure model with adjustable parameters was proposed. New initial loads and node capacities were set in this model, a load delay distribution mechanism was constructed and load redistribution rules were formulated on the basis of the heterogeneity and uniformity of load distribution. The cascading failure conditions of this model were analyzed and parsed, and simulation experiments were carried out through the WS-BA interdependent network. The results show that under a certain network capacity, the robustness and efficiency of the network can be improved by reasonably adjusting the heterogeneity and uniformity parameters.
In the multi-level interdependent network where the target node was under load, in order to prevent the occurrence of large-scale cascading failures, enhance the robustness of the network and improve the efficiency of load completion, a cascading failure model with adjustable parameters was proposed. New initial loads and node capacities were set in this model, a load delay distribution mechanism was constructed and load redistribution rules were formulated on the basis of the heterogeneity and uniformity of load distribution. The cascading failure conditions of this model were analyzed and parsed, and simulation experiments were carried out through the WS-BA interdependent network. The results show that under a certain network capacity, the robustness and efficiency of the network can be improved by reasonably adjusting the heterogeneity and uniformity parameters.
收稿日期：
2022-05-19
2022-05-19
