基于模糊逻辑的差异化业务网络拥塞控制

Runtong Zhang, Jian Ma
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引用次数: 3

摘要

未来互联网的基本目标是增加网络容量,为实时和非实时等不同需求的流量提供切实差异化的服务。这些目标对交通管制系统提出了非常严格的要求,并导致了差异化服务概念的建立。然而,DS网络的新特性(其中允许几种优先级)导致现有的“尽力而为”Internet的拥塞控制方法效率低下。本文提出了一种基于模糊逻辑的DS域拥塞控制方法。仿真结果表明了该方法的有效性和应用前景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Congestion control using fuzzy logic in differentiated services networks
The basic objectives of future Internet are to increase the network capacity, to offer practically differentiated services for traffic with different requirements such as real-time and non-real-time services. These objectives introduce very strict requirements for traffic control systems and lead to the establishment of Differentiated Services (DS) concept. However, the new features of DS networks, where several classes of precedence are allowed, lead the inefficiency of the congestion control approaches for the existed best-effort Internet. In this paper, a new congestion control approach using fuzzy logic in the DS domain is presented. Simulation shows that the approach is efficient and promising.
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