完全多方网络中的节点和链路漏洞

IF 0.6 4区 计算机科学 Q4 COMPUTER SCIENCE, THEORY & METHODS
Zeynep Nihan Berberler, A. Aytaç
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引用次数: 2

摘要

众所周知,网络容易出现节点或链路故障。网络分析的一个中心问题是对其稳定性和可靠性的评估。用于评估故障下网络性能的稳定性和健壮性的一个中心概念是脆弱性。节点和链路残差接近度是一种新的基于敏感图的网络脆弱性分析特征。节点和链路的剩余紧密度衡量的是即使移除节点或链路也不会导致网络断开的脆弱性。节点和链路剩余紧密度对网络设计和优化具有重要的理论和现实意义。本文通过节点和链路残差接近度计算了多部网络类型拓扑对单个节点和链路失效的脆弱性,从而提供了更全面的网络表征。然后,分析了多部网络类型拓扑在遭受节点或链路故障时的表现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Node and Link Vulnerability in Complete Multipartite Networks
Networks are known to be prone to node or link failures. A central issue in the analysis of networks is the assessment of their stability and reliability. A central concept that is used to assess stability and robustness of the performance of a network under failures is that of vulnerability. Node and link residual closeness are novel sensitive graph based characteristics for network vulnerability analysis. Node and link residual closeness measure the vulnerability even when the removal of nodes or links does not disconnect the network. Node and link residual closeness are of great theoretical and practical significance to network design and optimization. In this paper, vulnerabilities of multipartite network type topologies to the failure of individual nodes and links are computed via node and link residual closeness which provides a much fuller characterization of the network. Then, how multipartite network type topologies perform when they suffer a node or a link failure is analyzed.
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来源期刊
International Journal of Foundations of Computer Science
International Journal of Foundations of Computer Science 工程技术-计算机:理论方法
CiteScore
1.60
自引率
12.50%
发文量
63
审稿时长
3 months
期刊介绍: The International Journal of Foundations of Computer Science is a bimonthly journal that publishes articles which contribute new theoretical results in all areas of the foundations of computer science. The theoretical and mathematical aspects covered include: - Algebraic theory of computing and formal systems - Algorithm and system implementation issues - Approximation, probabilistic, and randomized algorithms - Automata and formal languages - Automated deduction - Combinatorics and graph theory - Complexity theory - Computational biology and bioinformatics - Cryptography - Database theory - Data structures - Design and analysis of algorithms - DNA computing - Foundations of computer security - Foundations of high-performance computing
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