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Performance Comparison of Active Queue Management Techniques

机译:活动队列管理技术的性能比较

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Congestion is an important issue which researchers focus on in the Transmission Control Protocol (TCP) network environment. To keep the stability of the whole network, congestion control algorithms have been extensively studied. Queue management method employed by the routers is one of the important issues in the congestion control study. Active queue management (AQM) has been proposed as a router-based mechanism for early detection of congestion inside the network. In this paper, we are comparing AQM two popular queue management methods, Random Early Detection (RED) and Droptail, in different aspects, such as throughput, and fairness Index. The comparison results indicate RED performed slightly better with higher throughput and higher fairness Index than Droptail. Simulation is done by using Network Simulator(NS_2) and the graphs are drawn using X-graph.
机译:拥塞是研究人员在传输控制协议(TCP)网络环境中关注的重要问题。为了保持整个网络的稳定性,已经对拥塞控制算法进行了广泛的研究。路由器采用的队列管理方法是拥塞控制研究中的重要问题之一。主动队列管理(AQM)已被提出作为基于路由器的机制,用于早期检测网络内部的拥塞。在本文中,我们在吞吐量和公平性指数等不同方面比较了AQM两种流行的队列管理方法,即随机早期检测(RED)和Droptail。比较结果表明,RED的性能比Droptail更高,吞吐量更高,公平指数更高。使用Network Simulator(NS_2)进行仿真,并使用X-graph绘制图形。

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