引用本文:陈江1, 丁洪伟2**, 赵淑芳1, 林凤仙1.基于复杂网络理论的计算机网络可靠性研究(J/M/D/N,J:杂志,M:书,D:论文,N:报纸).期刊名称,2018,35(5):39-45
CHEN X. Adap tive slidingmode contr ol for discrete2ti me multi2inputmulti2 out put systems[ J ]. Aut omatica, 2006, 42(6): 4272-435
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基于复杂网络理论的计算机网络可靠性研究
陈江1, 丁洪伟2**, 赵淑芳1, 林凤仙11,2
1.昆明南方地球物理技术开发有限公司,昆明 650051;2.云南大学 信息学院,昆明 650091
摘要:
为提高计算机网络信息转发过程中整体结构的可靠性能力,以图论为基础,构建了计算机网络加权有向网络模型,从度、紧密度、网络效率3个方面分析了计算机网络的网络特征,并对某企业核心网信息转发过程的网络结构度值、紧密度、网络效率等进行验证分析;结果显示:算例中的节点5、6的度值最大,即失效时网络影响最大;节点5的紧密值最大,其影响能力也最大;通过整体提高及分别对各节点提高可靠度对比分析,节点5为计算机网络的核心节点;由分析可知计算机网络信息转发过程网络可靠性较差,网络可靠性由少数关键节点决定。
关键词:  复杂网络  计算机网络  可靠性
DOI:
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基金项目:
Research on Computer Network Reliability Based on Complex Network Theory
CHEN Jiang1,DING Hong wei2,ZHAO Shu fang1,LIN Feng xian1
Abstract:
Computer network reliability in transmitting packets is studied, and a weighted directed network model of computer network is presented based on the graph theory. The network model of computer network is established according to degree, clustering coefficient and network efficiency. The degree, clustering coefficient and network efficiency were analyzed in the enterprise core network during the packet forwarding. The results show that node 5and 6 value are bigger,which has the biggest influence on network; the affinity of node 5 is biggest, which has made its greatest impact; node 5 is the core node through comparative analysis. Computer network reliability is poor during the packet forwarding through comparative analyses; and it is decided by a few important nodes.
Key words:  complex network  computer network  reliability
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