Class-based minimum interference routing for traffic engineering in optical networks

János Tapolcai, P. Fodor, G. Rétvári, M. Maliosz, T. Cinkler
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引用次数: 7

Abstract

In this paper an advanced framework for minimum interference routing is proposed, which, despite its universal nature, is best suited for traffic engineering in optical networks. Minimum interference routing is a method for engineering network resources to minimize the interference among high-volume traffic sources, in an attempt to maximize the useful throughput of the network. The main motivation behind the proposed framework Is a more advanced way of defining the "interference" between routes. This promotes the allocation of light-paths in an optical network without presuming any knowledge of future requests. The basic idea is that network links are classified into distinct criticality classes and additional capacity is defined for each criticality class. This additional capacity represents the amount of additional traffic that can be routed on those links, without increasing the network-wide interference. We provide a concise mathematical formula for class-based interference and propose a polynomial time heuristic to derive criticality classes. Based on our findings a flexible path selection scheme called MIRO is introduced. Finally, through extensive simulation studies, we show that the class-based interference framework more thoroughly describes link criticality than traditional methods, which transforms into more efficient routing in optical transport networks.
光网络流量工程中基于类的最小干扰路由
本文提出了一种先进的最小干扰路由框架,尽管它具有通用性,但它最适合于光网络中的流量工程。最小干扰路由是对工程网络资源进行优化,使大流量源之间的干扰最小化,从而使网络的有效吞吐量最大化的一种方法。提出框架的主要动机是一种更高级的方式来定义路由之间的“干扰”。这促进了光网络中光路的分配,而无需假定对未来的请求有任何了解。其基本思想是将网络链路划分为不同的临界级别,并为每个临界级别定义附加容量。这个额外的容量表示可以在这些链路上路由的额外通信量,而不会增加整个网络的干扰。我们为基于类的干扰提供了一个简明的数学公式,并提出了一个多项式时间启发式来推导临界类。在此基础上,提出了一种称为MIRO的柔性路径选择方案。最后,通过广泛的仿真研究,我们表明基于类的干扰框架比传统方法更彻底地描述链路临界性,从而转化为光传输网络中更有效的路由。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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