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Ethernet is the dominant Local Area Network (LAN) technology. These networks, typically, comprise large number of elements from different vendors. This raises considerable difficulties in performing network management tasks, such as resource management and root cause analysis, which are practically impossible without an up-to-date knowledge of the physical network topology. Given the dynamic nature of LANs, keeping track of topology information manually is a daunting (if not impossible) task. Therefore, it is essential to develop practical schemes for automatic inference of the physical topology of Ethernet networks. This paper proposes a simple and efficient algorithmic solution for discovering the physical topology of large, heterogeneous Ethernet LANs that may include multiple subnets as well as uncooperative network elements, like hubs.

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