An Optimized Congestion Control Scheme for Mice Flows in Named Data Networking

Shanshan Shi, Jun Li, Haibo Wu
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引用次数: 1

Abstract

The transmission performance of flows in NDN is greatly dependent on congestion control algorithms. However, current congestion control schemes for NDN are not designed to distinguish flows of different type, and they are relatively conservative for mice flows. This poster proposes a Packet-Pair based startup for NDN congestion control schemes, by exploiting the available bandwidth estimation during the flow startup, to approach the maximum throughput faster. Thus, this technique can improve the transmission efficiency of mice flows without harming elephant flows. We evaluate our proposal on ndnSIM and prove its effectiveness.
命名数据网络中老鼠流拥塞控制的优化方案
拥塞控制算法在很大程度上决定了NDN中流的传输性能。然而,现有的NDN拥塞控制方案并没有区分不同类型的流,对于小鼠流也比较保守。这张海报提出了一种基于数据包对的NDN拥塞控制方案,通过在流启动期间利用可用带宽估计,更快地接近最大吞吐量。因此,该技术可以在不损害象流的情况下提高鼠流的传播效率。我们对nnsim的建议进行了评估,并证明了其有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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