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Research on a new network model for fault location based on Betweenness

机译:基于中介性的故障定位新网络模型研究

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As the structure of modern computer networks has become more and more complex, the SNMP'1' protocol's fault management modes are challenged in the traditional network management. Higher requests have been put forward to the fault location research in network management about how to quickly find a network fault point in the complex network structure and to improve the efficiency of network management. In recent years, studies on complex networks'2' are still growing, so it is a direction worthy of research and concerns on how to combine the network management with the information contents which describe the relevant natures and dimensions of networks in complex networks, to enhance functions of the network management model, and to fast capture the fault point. In this paper, through simulation, it has been discovered that there is a certain percentage between a node's betweenness and its patency. That is, when a fault occurs, the higher a node's betweenness, the greater the possibility of a fault's occurring on another node which is on the shortest path passing the former node. Therefore, through the introduction of a node's betweenness and other related factors in complex networks into the algorithm for discovering a fault point in network management, a new fault location algorithm is put forward. Also, based on experimental simulations and algorithm performance tests in real situations, it enhances the effects of polling and Trap traditional mechanisms in the previous SNMP protocol, effectively reduces the fault detection time, and improves the location accuracy.
机译:随着现代计算机网络的结构变得越来越复杂,SNMP'1'协议的故障管理模式在传统的网络管理中受到了挑战。对于如何在复杂的网络结构中快速找到网络故障点并提高网络管理效率提出了更高的要求,对网络管理中的故障定位研究提出了更高的要求。近年来,关于复杂网络“ 2”的研究仍在不断增长,因此,如何将网络管理与描述复杂网络中网络的相关性质和规模的信息内容相结合,是一个值得研究和关注的方向。增强网络管理模型的功能,并快速捕获故障点。在本文中,通过仿真发现,节点的中间度和通畅度之间存在一定百分比。也就是说,当发生故障时,节点之间的间隔越高,则在通过前一节点的最短路径上的另一个节点上发生故障的可能性就越大。因此,通过将复杂网络中节点的中间性及其他相关因素引入到网络管理中的故障点发现算法中,提出了一种新的故障定位算法。此外,基于实际情况下的实验仿真和算法性能测试,它增强了以前的SNMP协议中的轮询和陷阱传统机制的效果,有效地减少了故障检测时间,并提高了定位精度。

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