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Performance Analysis of VCP Controller on DCCP Traffic

机译:VCP控制器对DCCP流量的性能分析

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摘要

TCP is an important communication protocol as more and more multimedia technologies are deployed in the Internet nowadays. However, existing TCP control mechanism has some shortcomings in supporting real-time streaming traffic. Although UDP can be used as an alternative to transmit real-time application data, it lacks congestion control. Introducing a new TCP-friendly protocol that supports the multimedia applications as well as congestion control has been the aim for many researchers for a long time. The transport layer protocol DCCP was designed to reach this goal recently. Another challenge in high bandwidth-delay product networks is to achieve a fair bandwidth allocation with efficiency, while minimizing packet loss and bottleneck queue. As a simple and low-complexity protocol, VCP can meet this challenge by leveraging the two ECN bits in network congestion feedback. In this paper, we study and implement the VCP controller in a bottleneck network with DCCP traffic. We use VCP to analyze the traffic load into different congestion states in order to effect congestion avoidance and control in the presence of huge DCCP-CCID2 traffic. We perform mathematical analysis and run OPNET simulation to validate our DCCP/VCP controller. We compare the performance of DCCP/VCP with TCP/RED, DCCP/RED and TCP/VCP in a bottleneck network. Our simulation results show that VCP controller can provide DCCP flows with a smooth throughput, a small queue size and a low packet drop rate.
机译:随着当今互联网中越来越多的多媒体技术的部署,TCP是一种重要的通信协议。但是,现有的TCP控制机制在支持实时流传输流量方面存在一些缺陷。尽管UDP可以用作传输实时应用程序数据的替代方法,但它缺乏拥塞控制。长期以来,引入支持多媒体应用以及拥塞控制的TCP友好协议一直是许多研究人员的目标。传输层协议DCCP旨在近期实现这一目标。高带宽延迟产品网络中的另一个挑战是如何高效地实现公平的带宽分配,同时最大程度地减少数据包丢失和瓶颈队列。作为一种简单且低复杂度的协议,VCP可以通过利用网络拥塞反馈中的两个ECN位来应对这一挑战。在本文中,我们研究并在具有DCCP流量的瓶颈网络中实现VCP控制器。我们使用VCP将流量负载分析为不同的拥塞状态,以在存在大量DCCP-CCID2流量时实现拥塞避免和控制。我们执行数学分析并运行OPNET仿真,以验证我们的DCCP / VCP控制器。在瓶颈网络中,我们将DCCP / VCP与TCP / RED,DCCP / RED和TCP / VCP的性能进行了比较。我们的仿真结果表明,VCP控制器可以为DCCP流提供平稳的吞吐量,较小的队列大小和较低的丢包率。

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