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首页> 外文期刊>Communications Letters, IEEE >Shared Bottleneck Detection Based on Congestion Interval Variance Measurement
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Shared Bottleneck Detection Based on Congestion Interval Variance Measurement

机译:基于拥塞间隔方差测量的共享瓶颈检测

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The key technical issue of bottleneck fairness-based multipath congestion control is to detect whether two flows share a common bottleneck or not. Previous approaches perform poorly when the delay of the two paths from the shared bottleneck to the common receiver differs significantly (named the path lag problem). In this letter, we propose and implement a shared bottleneck detection scheme based on congestion interval variance measurement (SBDV). Our scheme uses only one-way delay measurement within each flow to detect whether two flows share a bottleneck or not. If the variance of time interval between the two flows experiencing congestion is smaller than a threshold, which is determined by the duration of congestion, the two flows can be considered to share a common bottleneck. Otherwise, they are considered to have different bottlenecks. Our simulation shows that the accuracy of SBDV is high in most of the experiments, even when the bottlenecks are partially overlapped, and our scheme is robust to the troublesome Path lag problem, as compared to other state-of-the-art techniques.
机译:基于瓶颈公平性的多路径拥塞控制的关键技术问题是检测两个流是否共享一个共同的瓶颈。当从共享瓶颈到公用接收器的两条路径的延迟明显不同(称为路径滞后问题)时,先前的方法效果不佳。在这封信中,我们提出并实现了基于拥塞间隔方差测量(SBDV)的共享瓶颈检测方案。我们的方案在每个流中仅使用单向延迟测量来检测两个流是否共享瓶颈。如果两个发生拥塞的流之间的时间间隔方差小于阈值(由拥塞的持续时间确定),则可以认为这两个流具有共同的瓶颈。否则,它们被认为具有不同的瓶颈。我们的仿真表明,即使瓶颈部分重叠,SBDV的准确性在大多数实验中也很高,并且与其他最新技术相比,我们的方案对于麻烦的路径滞后问题也很健壮。

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