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On scalable QoS routing: performance evaluation of topology aggregation

机译:关于可伸缩的QoS路由:拓扑聚合的性能评估

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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 the performance of techniques that can reduce the 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:关于具有服务质量保证的网络的可伸缩性,仍然存在许多重要的问题。我们考虑以下问题之一:QoS路由协议可以扩展到大型网络吗?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。我们特别关注拓扑聚合,它可以将开销减少几个数量级。我们还研究了拓扑聚合与其他有助于性能的重要因素之间的相互作用,例如路由更新频率,路由算法和网络配置。我们的实验基于相对大型的结构化网络的仿真。与直觉相反,我们发现,拓扑聚合并不总是会对路由性能产生负面影响。聚合可以减少路由信息的波动,提高稳定性,从而提高路由性能。我们还提出了两种汇总路由信息的新方法。我们的混合聚合方法比传统的星型聚合方法要好得多,并且可以达到未聚合的性能。我们的加权聚合方法虽然直观吸引人,但可在各种拓扑之间提供混合性能。

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