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Performance Rescaling of Complex Networks

机译：复杂网络的性能调整

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Recent progress in network topology modeling has shown that it is possible to create smaller-scale replicas of large complex networks, like the Internet, while simultaneously preserving several important topological properties. However, the constructed replicas do not include notions of capacities and latencies, and the fundamental question of whether smaller networks can reproduce the performance of larger networks remains unanswered. We address this question in this letter, and show that it is possible to predict the performance of larger networks from smaller replicas, as long as the right link capacities and propagation delays are assigned to the replica's links. Our procedure is inspired by techniques introduced in and combines a time-downscaling argument from . We show that significant computational savings can be achieved when simulating smaller-scale replicas with TCP and UDP traffic, with simulation times being reduced by up to two orders of magnitude.
机译：网络拓扑建模的最新进展表明，可以创建大型复杂网络（如Internet）的小规模副本，同时保留几个重要的拓扑属性。但是，构造的副本不包括容量和延迟的概念，而较小的网络是否可以再现较大网络的性能这一基本问题仍未得到解答。我们在这封信中解决了这个问题，并表明只要将正确的链路容量和传播延迟分配给副本的链路，就可以从较小的副本中预测较大网络的性能。我们的过程受到引入的技术的启发，并结合的时间缩减参数。我们表明，使用TCP和UDP流量模拟较小规模的副本时，可以节省大量计算时间，并且模拟时间最多减少了两个数量级。

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