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Fuzzy Explicit Marking: A Unified Congestion Controller For Best-effort And Diff-serv Networks

机译:模糊显式标记:用于尽力而为和区分服务网络的统一拥塞控制器

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摘要

This paper, proposes a generic active queue management (AQM) control methodology in TCP/IP networks, based on Fuzzy logic control principles. A simple, effective and efficient non-linear control law is built, using a linguistic model of the system, rather than a traditional mathematical model, which is easily adapted in different network environments (e.g. Best-Effort and Differentiated-Services architectures). We demonstrate, via extensive simulative evaluation, that the proposed Fuzzy control methodology offers inherent robustness with effective control of the system under widely differing operating conditions, without the need to (re)tune any parameters. As demonstrated, this is in contrast with its well-known conventional counterparts A-RED, REM, PI, AVQ for Best-Effort, and two-level PI, RIO for Differentiated-Services based networks, where the proposed approach outperforms all of them both in Best-Effort and Differentiated-Services architecture application scenarios. Furthermore, the proposed approach is applied without any retuning for the two architectures using the same Fuzzy logic controller for both, with the only difference being in the setting of the target queue lengths for different precedence levels in Differentiated-Services.
机译:本文提出了一种基于模糊逻辑控制原理的TCP / IP网络中的通用主动队列管理(AQM)控制方法。使用系统的语言模型而不是传统的数学模型构建简单,有效和高效的非线性控制律,该数学模型可以轻松地适应不同的网络环境(例如尽力而为和差异化服务架构)。通过广泛的仿真评估,我们证明了所提出的模糊控制方法可提供固有的鲁棒性,并且可以在各种不同的工作条件下对系统进行有效控制,而无需(重新)调整任何参数。如图所示,这与其尽力而为的著名传统同类产品A-RED,REM,PI,AVQ和基于差异化服务的网络的两级PI,RIO形成了鲜明的对比,在后者中,拟议的方法优于所有同类产品尽力而为和差异化服务体系结构应用程序场景。此外,对于所使用的两种架构都使用相同的模糊逻辑控制器的两种体系结构,所建议的方法无需进行任何调整,唯一的区别在于针对差分服务中不同优先级的目标队列长度的设置。

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