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Analysis for unfairness of TCP outcast problem in data center networks

机译:数据中心网络中TCP流失问题的不公平性分析

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There is a form of unfairness phenomenon found in data center networks,which was identified by P. Prakash. This phenomenon shows that the throughput of a flow with smaller RTT is less than the throughput of a flow with large RTT. This is completely contrary to the classic TCP protocol. P. Prakash gives an explanation based on port blackout theory. However, after careful analysis, we have found another reason for this unusual phenomenon, which may be more important. This is because of an unfair distribution of the flows with different RTT on the physical link and the differences in congestion window size when finishing the current block transmission. In this paper, we develop an analytical model for the goodput in the outcast behavior. Then, we design a window notification based protocol to address this phenomenon. By using the mean value of the congestion window measurement, we unified the congestion window size for flows with different RTT, which improves the goodput of the flows with small RTT. By designing several experiments using the ns-2 simulator, we demonstrate that our explanation of outcast phenomenon is correct. Furthermore, we verify the effectiveness of the proposed algorithms.
机译:P. Prakash指出了在数据中心网络中发现的一种不公平现象。此现象表明,RTT较小的流的吞吐量小于RTT较大的流的吞吐量。这完全与经典的TCP协议相反。 P. Prakash基于端口停电理论进行了解释。但是,经过仔细分析,我们发现了这种异常现象的另一个原因,这可能更为重要。这是由于在完成当前块传输时,具有不同RTT的流在物理链路上的分配不公平,以及拥塞窗口大小的差异。在本文中,我们为流放行为中的生产量开发了一个分析模型。然后,我们设计了一个基于窗口通知的协议来解决这一现象。通过使用拥塞窗口测量的平均值,我们统一了具有不同RTT的流的拥塞窗口大小,从而提高了具有较小RTT的流的吞吐量。通过使用ns-2模拟器设计几个实验,我们证明了对流浪现象的解释是正确的。此外,我们验证了所提出算法的有效性。

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