基于并行tcp的无线网络的高效流量分割:建模和实验评估

G. Hoekstra, R. Mei, J. Bosman
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引用次数: 5

摘要

网络的并发使用提供了一种强大的手段来提高多个网络覆盖的区域的性能,这些区域的可用带宽有限。然而,尽管它具有巨大的性能改进潜力,但对于如何在实际部署中有效地利用性能改进的潜力知之甚少。这就提出了对流量分割和重组算法的需求,这种算法既要有效,又要简单,易于部署。基于此,我们首先提出了一个简单的分析流级模型,称为并发访问网络(CAN)模型,该模型在具有无限细粒度时间粒度的完整状态信息的理想情况下对流量进行最佳分割,从而在重组阶段实现零同步延迟。接下来,我们为基于TCP的网络提出了一种新的分割算法,该算法使用一个简单的评分函数,根据测量的每连接RTT、传输缓冲区内容和吞吐量,对单个TCP段的路由做出动态决策。然后,我们使用can模型作为基准,在测试实验室环境中评估基于分数函数的算法在真实TCP网络上的有效性和实用性。大量的实验室实验表明,这种基于分数函数的TCP流量分割非常有效,导致接近最佳的响应时间性能,并且易于部署。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient traffic splitting in parallel TCP-based wireless networks: Modelling and experimental evaluation
The concurrent use of networks provides a powerful means to boost performance in areas covered by multiple networks where only limited bandwidth is available. However, despite its enormous potential for performance improvement only little is known about how to effectively exploit the potential for performance improvement in practical deployments. This raises the need for traffic-splitting-and-reassembly algorithms that are effective, yet simple and easy-to-deploy. Motivated by this, we first propose a simple analytic flow-level model, called the Concurrent Access Network (CAN) model, that optimally splits traffic in the idealized situation where there is full state information at infinitely fine-grained time granularity, leading to zero synchronization delay during the reassembly phase. Next, we present a new splitting algorithm for TCP-based networks that uses a simple score function to make on-the-fly decisions on the routing of individual TCP segments, based on the measured per-connection RTT, transmission-buffer content and throughput. Then, we use the CAN-model as a benchmark to evaluate the effectiveness and practical usefulness of the score-function based algorithm on real TCP networks in a test-lab environment. Extensive lab experimentation demonstrates that this score-function based splitting of TCP traffic is extremely efficient, leads to close-to-optimal response-time performance and is easily deployable.
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