光WDM网状网络中的有限修饰架构和修饰端口放置

M. Sivakumar, K. Sivalingam
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引用次数: 6

摘要

本文研究了静态业务条件下WDM(光波分复用)网状网络中的业务疏导问题。这项工作的目标是最小化网络成本,特别是为满足给定的性能目标而产生的电子端口成本。在早期的工作中,我们已经展示了有限梳理交换机架构的好处,其中网络中只有一部分波长配备了昂贵的SONET Add - Drop Multiplexers (SADM)来提供梳理功能。在这项工作中,我们还考虑了这种修饰器的波长转换能力。这可以通过在梳理开关中使用数字交叉连接(DCS)来切换sadm之间的低速连接(因此在波长之间)来实现。因此,修饰开关避免了对昂贵的光学波长转换器的需要。基于这些观察,我们提出了一种基于有限转换的光WDM网状网络修饰体系结构。此体系结构中每个节点上的本地端口可以是以下三种类型之一:添加-删除端口、允许波长转换的修饰端口或不允许波长转换的修饰端口。所研究的问题是:给定一个静态流量模型,网络中不同的端口应该放在哪里?我们使用整数线性规划(ILP)将其表述为优化问题,并给出了数值结果。我们还提出了一种基于启发式的方法来解决大型网络的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Limited Grooming Architectures and Groomer-port Placement in Optical WDM Mesh Networks
In this paper, we consider the problem of traffic grooming in optical wavelength division multiplexed (WDM) mesh networks under static traffic conditions. The objective of this work is to minimize the network cost and in particular, the electronic port costs incurred for meeting a given performance goal. In earlier work, we have shown the benefits of limited grooming switch architectures, where only a subset of wavelengths in a network are equipped with expensive SONET Add Drop Multiplexers (SADM) that provide the grooming functionality. In this work, we also consider the wavelength conversion capability of such groomers. This can be achieved using a digital cross-connect (DCS) in the grooming switch to switch low-speed connections between the SADMs (and hence, between wavelengths). The grooming switch thus avoids the need for expensive optical wavelength converters. Based on these observations, we propose a limited conversion based grooming architecture for optical WDM mesh networks. The local ports at every node in this architecture can be one of three types: an add- drop port, a grooming port that allows wavelength conversion or a grooming port that does not allow wavelength conversion. The problem studied is: given a static traffic model, where should the different ports be placed in a network? We formulate this as an optimization problem using an Integer Linear Programming (ILP) and present numerical results for the same. We also present a heuristic based approach to solve the problem for larger networks.
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