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Prediction error adaptation of input traffic for absolute and proportional delay differentiated services

机译:绝对和比例延迟差分服务的输入流量预测误差适应

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In this paper, an algorithm that provisions absolute and proportional differentiation of packet delays is proposed with an objective for enhancing quality of service (QoS) in future packet networks. It features an algorithm that compensates the deviation for the prediction on the traffic to be arrived continuously. It predicts the traffic to be arrived at the beginning of a time slot and measures the actual arrived traffic at the end of the time slot. The difference between them is utilized to the delay control operation for the next time slot to offset it. As it compensates the prediction error continuously, it shows superior adaptability to the bursty traffic as well as the exponential rate traffic. It is demonstrated through simulations that the algorithm meets the quantitative delay bounds and shows superiority to the traffic fluctuation in comparison with the conventional non-adaptive mechanism.
机译:在本文中,提出了一种提供分组延迟的绝对和比例差分的算法,其目的是在未来的分组网络中提高服务质量(QoS)。它具有一种算法,该算法可以补偿偏差,从而对连续到达的交通量进行预测。它预测将在某个时隙的开始到达的流量,并在该时隙的末尾测量实际到达的流量。它们之间的差异被用于下一个时隙的延迟控制操作以抵消它。由于它不断补偿预测误差,因此对突发流量和指数速率流量都显示出卓越的适应性。仿真结果表明,与传统的非自适应机制相比,该算法满足定量时延界线,并具有优于交通波动的优势。

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