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Traffic Grooming in WDM Ring Networks with the Min-Max Objective

机译:具有最小最大目标的WDM环网中的流量整理

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We consider the problem of traffic grooming in WDM ring networks. Previous studies have focused on minimizing aggregate representations of the network cost. In this work, we consider a Min-Max objective, in which it is desirable to minimize the cost at the node where this cost is maximum. Such an objective is of practical value when dimensioning a network for unknown future traffic demands and/or for dynamic traffic scenarios. We prove that traffic grooming with the Min-Max objective is NP-Complete even when wavelength assignment is not an issue. We also present a new polynomial-time algorithm for Min-Max traffic grooming. Experiments with a wide range of problem instances demonstrate that our algorithm produces solutions which are always close to the optimal and/or the lower bound, and which scale well to large network sizes, large number of wavelengths, and high loads.
机译:我们考虑了WDM环网中的流量疏导问题。先前的研究集中在最小化网络成本的总体表示上。在这项工作中,我们考虑了“最小-最大”目标,在该目标中,希望在此成本最大的节点上最小化成本。当为未知的未来流量需求和/或动态流量场景确定网络规模时,此目标具有实用价值。我们证明,即使波长分配不成问题,以“最小-最大”目标进行流量疏导也可以实现NP-Complete。我们还提出了一种用于最小最大流量疏导的新多项式时间算法。在各种问题实例中进行的实验表明,我们的算法产生的解决方案始终接近最佳值和/或下限,并且可以很好地适应大型网络规模,大量波长和高负载。

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