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A self-adjusting rate adaptation scheme with good fairness and smoothness properties

机译：具有良好的公平性和平滑性的自调整速率自适应方案

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摘要

A novel feedback-based rate adaptation scheme is introduced and investigated in this paper. Its main innovative characteristic is the modulation of the rate increment by the distance between a flow's present rate and an assumed targeted maximum rate as dictated by the associated application. The previous along with the shaping of the rate decrement by the reported flow's losses are responsible for a dynamic and self-adjusting behavior that is shown to improve convergence to fairness, the oscillatory behavior of the rate and the induced packet losses when compared with the basic Additive Increase Multiplicative Decrease (AI/MD) scheme. Numerical results illustrate the good properties and intrinsic advantages of the proposed scheme both under the considered modeling assumptions, as well as under more real networking conditions by employing the ns-2 simulator. A brief comparison of the proposed scheme with the TCP-compatible schemes TFRC, IIAD and the non-AI/MD schemes AIPD, LIMPD, is included as well. Because of the aforementioned induced behavior and assumed flow's characteristics (min and max rates), the proposed congestion control scheme seems to be appropriate for regulating the rate of streaming applications.
机译：介绍并研究了一种基于反馈的新型速率自适应方案。它的主要创新特征是通过流量的当前速率与关联应用程序所确定的假定目标最大速率之间的距离来调制速率增量。前者以及所报告的流量损失对速率下降的影响，形成了一种动态和自我调整的行为，与基本行为相比，动态行为和自我调整行为可以改善公平性的收敛性，速率的振荡行为和引起的数据包丢失可加增乘减（AI / MD）方案。数值结果表明，在考虑的建模假设下以及通过使用ns-2模拟器在更实际的联网条件下，该方案的良好性能和固有优势。还包括了该提议方案与TCP兼容方案TFRC，IIAD和非AI / MD方案AIPD，LIMPD的简要比较。由于上述诱发行为和假定的流量特性（最小和最大速率），建议的拥塞控制方案似乎适合于调节流应用程序的速率。

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