主干拓扑鲁棒性的时间演化

Dimitris Maniadakis, Athanasios Balmpakakis, D. Varoutas
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引用次数: 9

摘要

随着社会对大规模电信网络的日益依赖以及其连通性的迅速提高,研究其拓扑特征变得至关重要。在主干水平上,其组成部分的不确定扰动可能会影响相当大比例的种群,因此这可以很好地解释最近对评价主干稳健性指标的关注。与以往的实证研究不同,这些研究仅限于拓扑的静态快照,本文将鲁棒性算法应用于随时间变化的网络。通过观察在规则间隔时间点拍摄的快照,研究了一组四个真实骨干网络的拓扑鲁棒性的时间演化。研究发现,随着时间的推移,只有一半的基本鲁棒性会发生变化,而改善其值的就更少了。时间因素的引入扩展了鲁棒性分析,并允许在网络鲁棒性动力学上得到结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On the temporal evolution of backbone topological robustness
As society progressively depends on large-scale telecommunications networks and their connectivity rapidly rises over time, it becomes of vital importance to study their topological features. On the backbone level uncertain disturbances of its constituent parts may affect a sizable proportion of the population, thus this can well explain the recent focus on evaluating backbone robustness metrics. Unlike previous empirical studies, which are limited to static snapshots of topologies, in this paper robustness algorithms are applied to networks over time. The temporal evolution of topological robustness is studied for a set of four real backbone networks by observing snapshots taken at regularly spaced points in time. It is found that only half of the fundamental robustness properties are changing over time with even fewer improving their values. The introduction of the time factor extends the robustness analysis and allows for deriving results on the network robustness dynamics.
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