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Robust and efficient monitor placement for network tomography in dynamic networks

机译:用于动态网络中网络层析成像的稳健高效的监视器放置

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摘要

We consider the problem of placing the minimum number of monitors in a dynamic network to identify additive link metrics from path metrics measured along cycle-free paths between monitors. Our goal is robust monitor placement, i.e., the same set of monitors can maintain network identifiability under topology changes. Our main contribution is a set of monitor placement algorithms with different performance-complexity tradeoffs that can simultaneously identify multiple topologies occurring during the network lifetime. In particular, we show that the optimal monitor placement is the solution to a generalized hitting set problem, for which we provide a polynomial-time algorithm to construct the input and a greedy algorithm to select the monitors with logarithmic approximation. Although the optimal placement is NP-hard in general, we identify non-trivial special cases that can be solved efficiently. Our secondary contribution is a dynamic triconnected decomposition algorithm to compute the input needed by the monitor placement algorithms, which is the first such algorithm that can handle edge deletions. Our evaluations on mobility-induced dynamic topologies verify the efficiency and the robustness of the proposed algorithms.
机译:我们考虑在动态网络中放置最少数量的监视器以从沿着监视器之间的无循环路径测量的路径度量中识别附加链路度量的问题。我们的目标是稳固放置监视器,即在拓扑变化时同一组监视器可以保持网络可识别性。我们的主要贡献是一组具有不同性能复杂性折衷的监视器放置算法,可以同时识别网络生命周期中出现的多种拓扑。特别是,我们证明了最佳监视器位置是广义命中集问题的解决方案,为此,我们提供了多项式时间算法来构造输入,并提供了贪婪算法来选择具有对数近似的监视器。尽管最佳放置通常是NP难的,但我们确定了可以有效解决的非平凡特殊情况。我们的第二项贡献是一种动态三连接分解算法,用于计算监视器放置算法所需的输入,这是第一个可以处理边缘删除的算法。我们对移动性诱发的动态拓扑的评估验证了所提出算法的效率和鲁棒性。

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