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Additive increase early adaptive decrease mechanism for TCP congestion control

机译:添加剂提高TCP拥塞控制的早期适应性降低机制

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Due to the fundamental end-to-end design principle, today TCP/IP congestion control algorithm implements an additive increase multiplicative decrease (AIMD) probing algorithm. We propose a new mechanism that we call additive increase early adaptive decrease (AIEAD). The AIEAD algorithm estimates both the available bandwidth and the queue backlog in a end-to-end fashion: the backlog estimate alms at bounding queue lengths, detecting congestion before overflow and discriminating congestion losses from losses that are due to unreliable links; the bandwidth estimate aims at adaptively setting control windows after congestion detection by taking into account the used bandwidth at the time of congestion (early adaptive decrease phase). An implementation of the AIEAD paradigm, which we call New Westwood (NW), is tested and compared with Reno, and Vegas TCP using the ns-2 simulator. Simulations show that NW significantly improves fairness and goodput with respect to both Reno and Vegas, whereas in a last-hop wireless lossy link scenario NW significantly improves the goodput.
机译:由于基本的端到端设计原理,今天的TCP / IP拥塞控制算法实现了一种增加增加的乘法减少(AIMD)探测算法。我们提出了一种新机制,我们称之为增加早期适应性减少(Aiead)。 Aiead算法以端到端的方式估计可用带宽和队列积压:在边界队列长度下的积压估计施放,检测溢出之前的拥塞,并判断由于不可靠链路而导致的损耗的拥塞损耗;带宽估计旨在通过在拥塞时的使用带宽(早期自适应降低阶段)来自适应地设置控制窗口。使用NS-2模拟器对我们称之为新韦斯特伍德(NW)的AIead范例的实施,并与Reno,以及VEGAS TCP进行了测试。模拟表明,NW显着提高了对雷诺和拉斯维加斯的公平和净化,而在最后一跳的无线无损链接场景中,NW显着提高了净化。

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