API-RCP能否在多瓶颈网络中实现最大-最小公平带宽分配?

Yang Hong, O. Yang
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引用次数: 6

摘要

理论分析和实验表明,TCP在高带宽延迟积网络中会出现振荡,容易出现不稳定。XCP是为了克服这些缺点而提出的,它通过从路由器到源发布一个显式的窗口调整。然而,XCP可能会在多瓶颈网络中充分利用带宽,并导致某些流接收到其最大最小公平速率的任意一小部分。API-RCP通过实体控制理论分析和设计,成功地解决了XCP的这一潜在问题。为什么API-RCP可以在多瓶颈网络中实现最大最小公平带宽分配和稳定状态下的全部链路利用率?为了解决这个问题,我们做了一个简单的理论分析,然后通过OPNET®仿真验证了它。我们还提出了一种以最小控制误差优化系统性能的控制器设计方案。我们通过在多瓶颈网络中比较API-RCP和TCP/RED来证明改进的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Can API-RCP achieve max-min fair bandwidth allocation in a multi-bottleneck network?
Theoretical analysis and experiments have shown that TCP can become oscillatory and prone to instability in high bandwidth-delay-product networks. XCP was proposed to overcome these shortcomings by advertising an explicit window adjustment from the routers to the sources. However, XCP may under-utilize the bandwidth in a multi-bottleneck network and cause some flows to receive an arbitrarily small fraction of their max-min fair rates. Using solid control theoretical analysis and design, API-RCP has solved this potential problem of XCP successfully. Why API-RCP can achieve max-min fair bandwidth allocation and full link utilization in steady state in multi-bottleneck networks? To address this question, we made a simple theoretical analysis and then verify it by OPNET® simulations. We also propose a controller design scheme to optimize the system performance with minimum control errors. We demonstrate the improved performance through comparison between API-RCP and TCP/RED in a multi-bottleneck network.
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