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On measuring the end-to-end packet delay and its dynamics modeling using system identification

机译:基于系统识别的端到端分组时延测量及其动力学建模

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Understanding the end-to-end packet delay dynamics of the Internet is of crucial importance since it directly affects the QoS (Quality of Services) of realtime services, and it enables us to design an efficient congestion control mechanism. In this paper, we measure the end-to-end packet delay of the Internet, and build a model representing its dynamics using the system identification. We first measure, as the input and output data for the system identification, the packet inter-departure time from a source host and the corresponding round-trip time measured by the source host. ICMP (Internet Control Message Protocol) is utilized to measure the round-trip time for each packet. We next model the network, seen by a specific source host, as a dynamic SISO (Single-Input and Single-Output) system. Namely, the input to the system is the packet inter-departure time from the source host, and the output from the system is the round-trip time variation between two adjacent packets. Using measurement results obtained from several network environments. we show how accurately the packet delay dynamics of the Internet can be modeled with the system identification.
机译:了解Internet的端到端数据包延迟动态至关重要,因为它直接影响实时服务的QoS(服务质量),并且使我们能够设计一种有效的拥塞控制机制。在本文中,我们测量了Internet的端到端数据包延迟,并使用系统标识建立了表示其动态的模型。我们首先测量来自源主机的数据包出站时间以及源主机测得的相应往返时间,作为系统识别的输入和输出数据。 ICMP(Internet控制消息协议)用于测量每个数据包的往返时间。接下来,我们将由特定源主机看到的网络建模为动态SISO(单输入和单输出)系统。即,系统的输入是来自源主机的分组离开时间,而系统的输出是两个相邻分组之间的往返时间变化。使用从多个网络环境获得的测量结果。我们展示了如何使用系统标识来准确建模Internet的数据包延迟动态。

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