Robust solution for splitter placement in all-optical WDM networks

Jun-yan Li, Sheng Wang, Xiong Wang
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Abstract

In all-optical wavelength-division multiplexing (WDM) networks, splitters are used to realize multicast. The multicast-capable cross-connects are the cross-connects with passive power splitters in the all-optical network. Placing splitters at all of the nodes is considered to be expensive in the all-optical WDM network. Optimally selecting a subset of nodes to place the splitters can reduce the cost and this placement problem is called the splitter placement problem. The multicast demands of splitter placement problem are deemed to be static in previous researches, but the demands of real network are uncertain. In this paper, a robust optimization strategy is proposed to optimally solve the splitter placement problem with uncertain demands and a fixed number of multicast-capable cross-connects. The different multicast demands are described as a set of scenarios each with a known probability in a demand forecast. The robust optimization strategy is modeled as an Integer Programming model, whose primary objective is to minimize a regret function. Regret function of the robust solution models the over resource provisioning of all the possible scenarios in the network, which is the difference between the resource provisioning really used in scenario and the optimal resource provisioning that could be used. Using robust optimization strategy to solve the splitter placement, an optimal placement of splitters can be gained, which make the resource provisioning of each possible scenario close to the optimal resource consumption and robust for all-optical multicast.
全光WDM网络中分路器放置的鲁棒解决方案
在全光波分复用(WDM)网络中,采用分路器实现组播。支持多播的交叉连接是全光网络中使用无源功率分配器的交叉连接。在全光WDM网络中,在所有节点上放置分路器被认为是昂贵的。最佳地选择一个节点子集来放置分离器可以降低成本,这种放置问题称为分离器放置问题。以往的研究都认为分配器配置问题的组播需求是静态的,而实际网络的需求是不确定的。本文提出了一种鲁棒优化策略,以最优解决需求不确定且具有固定数量的组播交叉连接的分配器放置问题。不同的多播需求被描述为一组场景,每个场景在需求预测中都有一个已知的概率。鲁棒优化策略建模为整数规划模型,其主要目标是最小化遗憾函数。鲁棒解的遗憾函数是对网络中所有可能场景的过度资源供应进行建模,即场景中实际使用的资源供应与可使用的最优资源供应之间的差值。采用鲁棒优化策略解决分路器的配置问题,可以获得分路器的最优配置,使每个可能场景的资源供给接近最优资源消耗,并且对全光组播具有鲁棒性。
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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