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A hierarchical divisive algorithm for topology discovery in multi-subnet networks

机译：多子网网络中拓扑发现的分层划分算法

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Current progress in network techniques and the complexity of network structures require network administrators to spend more time and attention on maintaining a network system under normal operations. With our continuously increasing dependence on networks, it is difficult to know how to effectively manage all of the equipment in a network and to be certain of whether the network is operating correctly. To make a comprehensive survey of current administrators' management modes, administrators must understand the rules for the network's equipment and the entire topological structure of the network; such an understanding will allow them to rapidly and efficiently address an increasingly complicated network environment. This paper presents a hierarchical divisive algorithm for topology discovery that can work on a network layer and a link layer, which are widely used by network administrators today. This approach involves an automatic exploration through a random network node and possesses the features of cross-layer and multiple protocols to support the exploration of a multi-subnet network, to enable a faster and more effective explorative ability of a topological resource. The implementation shows how to automatically discover the entire network's topology and all of the network's equipment link nodes from the integration of a network-managed system to prove that our proposal is effective.
机译：网络技术的当前进步和网络结构的复杂性要求网络管理员花费更多的时间和精力来维护网络系统的正常运行。随着我们对网络的依赖性不断提高，很难知道如何有效地管理网络中的所有设备，并且难以确定网络是否正常运行。要全面了解当前管理员的管理模式，管理员必须了解网络设备的规则以及网络的整个拓扑结构;这样的理解将使他们能够快速有效地解决日益复杂的网络环境。本文提出了一种用于拓扑发现的分层划分算法，该算法可以在网络层和链路层上工作，当今网络管理员已广泛使用该算法。这种方法涉及通过随机网络节点的自动探索，并具有跨层和多种协议的功能以支持对多子网网络的探索，从而能够更快，更有效地探索拓扑资源。该实现展示了如何通过网络管理系统的集成自动发现整个网络的拓扑结构以及网络的所有设备链路节点，以证明我们的建议是有效的。

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