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Predictive Traffic Engineering with 2-Segment Routing Considering Requirements of a Carrier IP Network

机译:考虑运营商IP网络要求的具有2段路由的预测流量工程

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Segment Routing (SR) can be used as a traffic engineering strategy to counteract increasing loads on networks like Internet Service Provider (ISP) backbones. Many SR approaches, however, optimize traffic flows that were measured in the past. This paper introduces a new tunnel training architecture. It aims to show that the results of these strategies can still be beneficial for routing new traffic flows using the tunnel training architecture. We evaluate the selection of different matrices for training, as well as the choice of different tunnel selection heuristics. The results show that optimization results tend to be beneficial even for traffic matrices that were not known during the optimization. Classifying the quality of SR tunnels, though, proves to be difficult and trace dependent.
机译:网段路由(SR)可以用作流量工程策略,以抵消Internet服务提供商(ISP)骨干网等网络上不断增加的负载。但是,许多SR方法可以优化过去测量的流量。本文介绍了一种新的隧道训练架构。它旨在表明这些策略的结果对于使用隧道训练体系结构路由新的业务流仍然是有益的。我们评估用于训练的不同矩阵的选择,以及不同隧道选择启发式算法的选择。结果表明,即使对于优化过程中未知的流量矩阵,优化结果也趋于有益。但是,对SR隧道的质量进行分类非常困难且依赖于跟踪。

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