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The Delay with New-Additive Increase Multiplicative Decrease Congestion Avoidance and Control Algorithm

机译:新增加乘积减少拥塞避免与控制算法的时滞

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As the Internet becomes increasingly heterogeneous, the issue of congestion control becomes ever more important. And the queue length and end-to-end (congestion) delays are some of the important things in term of congestion avoidance and control mechanisms. In this research we continued to study the performances of the New-Additive Increase Multiplicative Decrease (AIMD) algorithm as one of the core protocols for TCP congestion avoidance and control mechanism, we want now to evaluate the effect of using the New-AIMD algorithm to measure the queue length and end-to-end delays and we will use the NCTUns simulator to get the results after make the modification of the mechanism. And we will use the Droptail mechanism as Active Queue Management (AQM) in the bottleneck router. After implementation of our new approach with different number of flows, we will measure the delay for two types of delays (queuing delay and end-to-end delay), we expect the delay will be less with using our mechanism comparing with the mechanism in the previous study. Now and after got this results as low delay for bottleneck link case, we know the New-AIMD mechanism work as well under the network condition in the experiments.
机译:随着Internet变得越来越异构,拥塞控制问题变得越来越重要。就避免拥塞和控制机制而言,队列长度和端到端(拥塞)延迟是一些重要的事情。在这项研究中,我们继续研究作为TCP拥塞避免和控制机制的核心协议之一的新加法乘减算法(AIMD)的性能,我们现在要评估使用New-AIMD算法对TCP拥塞的控制效果。测量队列长度和端到端延迟,在修改机制后,我们将使用NCTUns仿真器获得结果。并且,我们将在瓶颈路由器中使用Droptail机制作为主动队列管理(AQM)。在使用具有不同数量流的新方法实施之后,我们将测量两种类型的延迟(排队延迟和端到端延迟)的延迟,我们期望与我们的机制相比,使用我们的机制的延迟会更少以前的研究。现在并获得了瓶颈链路情况下的低延迟这一结果之后,我们知道New-AIMD机制在网络条件下也能正常工作。

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