Efficient and scalable design of Protected Working Capacity Envelope

S. Sebbah, B. Jaumard
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引用次数: 19

Abstract

The Protected Working Capacity Envelope (PWCE) concept was proposed by Grover (2004) in order to simplify network and operation management in survivable WDM networks. In this paper, we focus on PCWE with p-cycles and investigate a new design method, highly efficient and scalable, for designing survivable WDM networks. Traditional design methods proceed in two steps: A first step where a large (sometimes huge) number of cycles is enumerated followed by a second step where the selection of the most promising p-cycles is made with the help of combinatorial optimization tools. We develop a new (single step) method based on large scale optimization tools, i.e., column generation techniques, where the generation of cycles is dynamic and embedded within the optimization process. The key advantage of column generation (CG) techniques is that no a priori cycle enumeration step is required ahead of the optimization process: The generation of the relevant cycles, only one or few at a time, is embedded in the optimization process. We conducted intensive computational experiments. Not only do we considered several network instances with quite different topology characteristics, but we also compared our CG-based model and solution method with several existing models and methods from the literature. Results obtained in the experiments on five different network instances, show that the CG-based model and method outperform by far the results of all previous studies, both with respect to the scalability (much smaller computing times for large network instances) but also with respect to the quality of the solutions.
高效和可扩展的保护工作容量包络设计
保护工作容量包络(PWCE)概念是Grover(2004)为了简化可生存WDM网络中的网络和运行管理而提出的。本文以p环的PCWE为研究对象,探讨了一种高效、可扩展的WDM网络设计新方法。传统的设计方法分两步进行:第一步,列举大量(有时是巨大的)循环,第二步,在组合优化工具的帮助下选择最有希望的p循环。我们开发了一种基于大规模优化工具的新(单步)方法,即列生成技术,其中循环的生成是动态的,嵌入在优化过程中。列生成(CG)技术的主要优点是,在优化过程之前不需要先验的循环枚举步骤:相关循环的生成,一次只生成一个或几个,嵌入在优化过程中。我们进行了大量的计算实验。我们不仅考虑了几种具有完全不同拓扑特征的网络实例,而且还将基于cg的模型和求解方法与文献中的几种现有模型和方法进行了比较。在五个不同的网络实例上获得的实验结果表明,基于cg的模型和方法在可扩展性(大型网络实例的计算时间要小得多)和解决方案的质量方面都远远优于以前所有研究的结果。
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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