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Analysis of ECN/RED and SAP-LAW with simultaneous TCP and UDP traffic

机译:分析具有同时TCP和UDP流量的ECN / RED和SAP-LAW

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Internetworking often requires a large amount of users to share a common gateway to obtain connectivity to the Internet. Congestion avoidance mechanisms are used to prevent the saturation of the gateway which represents a bottleneck of the system. The most popular congestion avoidance mechanisms are the Explicit Congestion Notification (ECN) and the Random Early Detection (RED). Recently, a new method for the congestion avoidance has been proposed: the Smart Access Point with Limited Advertised Window (SAP-LAW). The main idea is to hijack the acknowledge packets in the TCP connections in order to artificially reduce the advertised destination window according to some bandwidth allocation policy. Therefore, the flux control mechanism is artificially exploited to control the congestion at the bottleneck. The advantage of this approach is that it does not require any modification in the TCP implementations at the clients. In this paper, we propose stochastic models for the ECN/RED and SAP-LAW mechanisms in order to compare their performances under different scenarios. The models are studied in mean field regime, i.e., under a great number of TCP connections and UDP based transmissions. Augmenting previous work on ECN/RED, we consider the presence of UDP traffic with bursts, and short lived TCP connections. The models for SAP-LAW are totally new. The comparison is performed in terms of different performance indices including average queue length, system throughput and expected queuing time. (C) 2016 Elsevier B.V. All rights reserved.
机译:互联网络通常需要大量用户共享一个公用网关才能获得与Internet的连接。拥塞避免机制用于防止网关的饱和,这代表了系统的瓶颈。最受欢迎的拥塞避免机制是显式拥塞通知(ECN)和随机早期检测(RED)。最近,已经提出了一种避免拥塞的新方法:具有受限广告窗口的智能接入点(SAP-LAW)。主要思想是劫持TCP连接中的确认数据包,以便根据某些带宽分配策略人为地减少通告的目标窗口。因此,人为地利用磁通量控制机制来控制瓶颈处的拥塞。这种方法的优点是它不需要在客户端的TCP实现中进行任何修改。在本文中,我们提出了ECN / RED和SAP-LAW机制的随机模型,以便比较它们在不同情况下的性能。在平均场模式下,即在大量TCP连接和基于UDP的传输下研究模型。扩展了先前在ECN / RED方面的工作之后,我们考虑了存在突发的UDP流量和短暂的TCP连接。 SAP-LAW的模型是全新的。根据不同的性能指标(包括平均队列长度,系统吞吐量和预期的排队时间)执行比较。 (C)2016 Elsevier B.V.保留所有权利。

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