Adaptive End-To-End Loss Differentiation Scheme for TCP Over Wired/Wireless Networks
Adaptive End-To-End Loss Differentiation Scheme for TCP Over Wired/Wireless Networks
复制标题
有线/无线网络上 TCP 的自适应端到端损耗区分方案
DOI：
10.5220/0002091401290136
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
Ju
中科院分区：
文献类型：
--
作者：
Chang;Jinhyuk Lee;Taehwan Kim;Woojin Han;Dowon Hyun;Ju
总结我们提出了一个强大的端到端的损失区分计划，以确定由于拥塞的TCP连接通过有线/无线网络的数据包丢失。我们使用测量的RTT值来确定数据包丢失的原因是否是由于有线路径上的拥塞或无线路径上的定期比特错误。分类应该尽可能准确，以实现高吞吐量和最大的公平性，为TCP连接共享有线/无线路径。文献中以前的方案的准确性取决于不同的网络参数，如RTT，缓冲区大小，交叉流量，无线丢失率和拥塞损失率。该方案是鲁棒的，在不同的网络参数下的精度保持相当稳定。我们的方案背后的基本思想是将分类的阈值设置为最小RTT和当前样本RTT的函数，以便它可以自动适应当前的拥塞水平。当路径的拥塞水平被估计为低时，将被分类为拥塞丢失的分组丢失的阈值增大。这避免了由于无线路径上的规则比特错误而导致的分组丢失的拥塞窗口的不必要的减半，从而提高了TCP吞吐量。当路径的拥塞水平被估计为高时，用于分组丢失被分类为拥塞丢失而不错过任何拥塞丢失的阈值被减小，并且因此提高了TCP公平性。在我们的NS 2模拟，该计划正确地分类拥塞损失在不同的网络参数，而以前的计划显示出一些依赖于参数的子集。
Summary We propose a robust end-to-end loss differentiation scheme to identify the packet losses due to congestion for TCP connections over wired/wireless networks. We use the measured RTT values in determining whether the cause of packet loss is due to congestion over wired path or regular bit errors over wireless paths. The classification should be as accurate as possible to achieve high throughput and maximum fairness for the TCP connections sharing the wired/wireless paths. The accuracies of previous schemes in the literature depends on varying network parameters such as RTT, buffer size, amount of cross traffic, wireless loss rate and congestion loss rate. The proposed scheme is robust in that the accuracy remains rather stable under varying network parameters. The basic idea behind our scheme is to set the threshold for the classification to be a function of the minimum RTT and the current sample RTT, so that it may automatically adapt itself to current congestion level. When the congestion level of the path is estimated to be low, the threshold for a packet loss to be classified as a congestion loss is increased. This avoids unnecessary halving of the congestion window on packet loss due to regular bit errors over wireless path and hence improves the TCP throughput. When the congestion level of the path is estimated to be high, the threshold for a packet loss to be classified as a congestion loss not to miss any congestion loss is decreased and hence improves the TCP fairness. In our ns 2 simulations, the proposed scheme correctly classifies the congestion losses under varying network parameters while previous schemes show some dependency on subsets of parameters.