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On linear prediction of internet traffic for packet and burst switching networks

机译:关于数据包和突发交换网络的互联网流量的线性预测

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In this paper, we show that prediction algorithms in the least mean square error sense prove better in a burst rather than in a packet switching network. For the latter, further information about the packet arrival distribution within the prediction interval is required. Regarding burst switching, we compare Optical Burst Switching networks with and without linear prediction to conclude that linear prediction provides a significant improvement in end-to-end latency with low bandwidth waste.
机译:在本文中,我们示出了最小均线误差感中的预测算法在突发而不是在分组交换网络中证明了更好。对于后者,需要有关数据包到达分布在预测间隔内的进一步信息。关于突发切换,我们将光突发交换网络与无线预测进行了比较,以得出线性预测,线性预测提供了具有低带宽浪费的端到端延迟的显着改进。

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