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On scalable QoS routing: performance evaluation of topology aggregation

机译:可扩展QoS路由:拓扑聚集的性能评估

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A number of important questions remain concerning the scalability of networks with quality of service guarantees. We consider one of these questions: can QoS routing protocols scale to large networks? To address this question, we evaluate performance of techniques that can reduce Qos routing protocol overhead. We specifically focus on topology aggregation, which can reduce overhead by orders of magnitude. We also investigate the interaction of topology aggregation with other important factors that contribute to performance, such as routing update frequency, routing algorithms, and network configuration. Our experiments are based on simulations of relatively large, structured networks. Among our observations, we find-contrary to intuition -that topology aggregation does not always have a negative impact on routing performance. Aggregation can reduce the routing information fluctuation, increase stability, and thus benefit routing performance. We also propose two new methods of aggregating routing information. Our hybrid aggregation method performs much better than conventional star aggregation and approaches unaggregated performance. Our weighted aggregation method, while intuitively appealing, offers mixed performance across topologies.
机译:许多重要问题仍然有关网络质量保证网络的可扩展性。我们考虑其中一个问题:QoS路由协议可以缩放到大型网络吗?为了解决这个问题,我们评估了可以减少QoS路由协议开销的技术的性能。我们专注于拓扑聚集,这可以减少幅度的开销。我们还调查拓扑聚合与其他重要因素的互动,这些因素有助于性能,例如路由更新频率,路由算法和网络配置。我们的实验基于对相对较大的结构化网络的模拟。在我们的观察中,我们认为符合直觉 - 拓扑聚集并不总是对路由性能产生负面影响。聚合可以减少路由信息波动,增加稳定性,从而有效地进行路由性能。我们还提出了两种汇总路由信息的新方法。我们的混合聚集方法比传统的星形聚集更好,并接近未结合的性能。我们的加权聚集方法,同时直观地吸引,在拓扑上提供混合性能。

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