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Traffic analysis at short time-scales: an empirical case study from a 3G cellular network

机译:短时间内的流量分析:来自3G蜂窝网络的经验案例研究

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The availability of synchronized packet-level traces captured at different links allows the extraction of one-way delays for the network section in between. Delay statistics can be used as quality indicators to validate the health of the network and to detect global performance drifts and/or localized problems. Since packet delays depend not only on the network status but also on the arriving traffic rate, the delay analysis must be coupled with the analysis of the traffic patterns at short time scales. In this work we report on the traffic and delay patterns observed at short timescales in a 3G cellular mobile network. We show that the aggregate traffic rate exhibits large impulses and investigate on their causes. Specifically, we find that high- rate sequential scanners represent a common source of traffic impulses, and identify the potential consequences of such traffic onto the underlying network. This case-study demonstrates that the microscopic analysis of delay and traffic patterns at short time-scales can contribute effectively to the task of troubleshooting IP networks. This is particularly important in the context of 3G cellular networks given their complexity and relatively recent deployment.
机译:在不同链路上捕获的同步数据包级跟踪的可用性允许提取之间的网络部分的单向延迟。延迟统计可以用作质量指标,以验证网络的运行状况并检测全局性能漂移和/或局部问题。由于数据包延迟不仅取决于网络状态,还取决于到达的流量速率,因此延迟分析必须与短时间尺度的流量模式分析结合起来。在这项工作中,我们报告了在3G蜂窝移动网络中在短时间内观察到的流量和延迟模式。我们表明,总流量显示出很大的冲动,并对其原因进行了调查。具体而言,我们发现高速率顺序扫描器代表了流量冲动的常见来源,并确定了此类流量对基础网络的潜在后果。该案例研究表明,在短时间内进行延迟和流量模式的微观分析可以有效地解决IP网络故障。考虑到3G蜂窝网络的复杂性和相对较新的部署,这在3G蜂窝网络的环境中尤其重要。

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