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Robust 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监视器放置

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 pa ths between monitors. Our goal is robust monitor placement, i.e ., the same set of monitors can maintain network identifiabilit y under topology changes. Our main contribution is a set of mon i- tor placement algorithms with different performance-comp lexity tradeoffs that can simultaneously identify multiple topol ogies occurring during the network lifetime. In particular, we sh ow that the optimal monitor placement is the solution to a generaliz ed hitting set problem, for which we provide a polynomial-time algo- rithm to construct the input and a greedy algorithm to select the monitors with logarithmic approximation. Although the opt imal placement is NP-hard in general, we identify non-trivial sp ecial cases that can be solved efficiently. Our secondary contribu tion is a dynamic triconnected decomposition algorithm to compu te the input needed by the monitor placement algorithms, which is the first such algorithm that can handle edge deletions. Ou r evaluations on mobility-induced dynamic topologies verif y 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监视器之间的无周期路径测量的路径度量中识别附加链路度量的问题。我们的目标是稳健的监视器放置,即,同一组监视器可以在拓扑更改时保持网络的可识别性。我们的主要贡献是一组具有不同性能复杂度折衷的监视器放置算法,这些算法可以同时识别网络生命周期中发生的多种拓扑。特别地,我们认为最佳监视器位置是解决通用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,并提供了一种贪婪算法来选择对数近似的监视器。尽管最佳放置通常是NP困难的,但我们确定了可以有效解决的特殊情况。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。我们对迁移率引起的动态拓扑进行的评估验证了所提出算法的效率和鲁棒性。

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