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Fault-Tolerant Approximate Shortest-Path Trees

机译:容错近似最短路径树

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The resiliency of a network is its ability to remain effectively functioning also when any of its nodes or links fails. However, to reduce operational and set-up costs, a network should be small in size, and this conflicts with the requirement of being resilient. In this paper we address this trade-off for the prominent case of the broadcasting routing scheme, and we build efficient (i.e., sparse and fast) fault-tolerant approximate shortest-path trees, for both the edge and vertex single-failure case. In particular, for an n-vertex non-negatively weighted graph, and for any constant ε > 0, we design two structures of size O((n log n)/(ε~2)) which guarantee (1 + ε)-stretched paths from the selected source also in the presence of an edge/vertex failure. This favorably compares with the currently best known solutions, which are for the edge-failure case of size O(n) and stretch factor 3, and for the vertex-failure case of size O(n log n) and stretch factor 3. Moreover, we also focus on the unweighted case, and we prove that an ordinary (α, β)-spanner can be slightly augmented in order to build efficient fault-tolerant approximate breadth-first-search trees.
机译:网络的弹性是其在任何节点或链路发生故障时也能保持有效运行的能力。但是,为了减少运营和设置成本,网络的规模应较小,这与保持弹性的要求相冲突。在本文中,我们针对广播路由方案的突出情况解决了这一折衷问题,并且针对边缘和顶点单故障情况,我们构建了高效(即稀疏和快速)的容错近似最短路径树。特别地,对于n个顶点非负加权图,以及对于任何常数ε> 0,我们设计两个大小为O((n log n)/(ε〜2))的结构,保证(1 +ε)-在存在边沿/顶点故障的情况下,来自选定源的拉伸路径也是如此。这与当前最著名的解决方案相比是有利的,在边缘失效情况下,尺寸为O(n)和拉伸因子3,在顶点失效情况下,尺寸为O(n log n)和拉伸因子3。 ,我们还关注未加权的情况,并证明可以略微增加普通(α,β)跨度,以构建有效的容错近似广度优先搜索树。

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