耦合网络中负荷脱落的级联效应

Sotharith Tauch, William Liu, R. Pears
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引用次数: 1

摘要

错综复杂的相互关联的关键基础设施网络,如电网、电信和交通,对于当代社会和经济的最小功能至关重要。信息和通信技术(ICT)的进步为这些系统日益增强的互联性提供了基础,这些系统产生了新的漏洞,可能受到硬件故障、链路中断、人为错误、自然灾害、物理攻击和网络攻击的影响。节点上一部分的故障可能会导致另一个网络中相关节点的故障。因此,本文的主要目的是利用Bak-Tang-Wiesenfeld沙堆模型研究两个互连网络之间的负载脱落引起的级联现象。我们发现,当节点度和/互联链路变得密集时,雪崩发生的最大。此外,耦合随机规则网络往往比耦合Erdös-Rényi网络具有更强的鲁棒性。但是,耦合的随机规则网络容易受到随机攻击,耦合的Erdös-Rényi网络由于度分布的原因容易受到目标攻击。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cascade effects of load shedding in coupled networks
Intricate webs of interlinked critical infrastructures such as electrical grid, telecommunication, and transportation are essential for the minimal functioning of contemporary societies and economies. Advances in Information and Communication Technology (ICT) underpin the increasing interconnectivity of these systems which created new vulnerabilities that can be affected by hardware failure, link cut, human error, natural disaster, physical-attacks and cyber-attacks. Failures of a fraction on nodes may possibly lead to failures of the dependent nodes in another network. Therefore, the main objective of this paper is to investigate the cascades phenomena caused by load shedding between two interconnected networks using Bak-Tang-Wiesenfeld sandpile modeling. We have found that, largest avalanche occurred when node degree and/interconnectivity link become dense. In addition, coupled random-regular networks tend to be more robust than the coupled Erdös-Rényi networks. However, coupled randomregular networks are vulnerable to random attack and coupled Erdös-Rényi networks are vulnerable to target attack due to the degree distribution.
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