柔性网格光网络带宽分配优化及其在调度中的应用

H. Shachnai, A. Voloshin, S. Zaks
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引用次数: 11

摘要

全光网络由于其高数据传输速率而受到广泛的研究。在传统的波分复用(Wavelength-Division Multiplexing, WDM)技术中,可以通过光纤传输的光谱被划分为固定宽度的频率间隔,间隔之间有未使用的频率间隔。最近,有人提出了一种新的架构,它从严格的密集波分复用(DWDM)模型转向灵活的模型,其中可用的频率间隔是可变宽度的(即使在同一链路中)。每条光路都必须被分配一个频率间隔(子频谱),这个频率间隔在它所经过的所有链路中都是固定的。使用同一链路的两条不同光路必须分配不相交的子光谱。这种技术被称为柔性电网(或柔性频谱),相对于固定电网(或固定频谱)当前技术。本文研究了柔性网格技术中出现的最优带宽分配问题。在这种情况下,每个光路都有其频率间隔宽度的下界和上界,以及相关的利润,我们希望找到一个使总利润最大化的带宽分配。这个问题被称为np完全问题。我们观察到,事实上,即使在路径网络上,问题在任何常数比内都是不可逼近的。我们进一步推导了具有实际意义的路径和环形网络的几种特殊情况的np -硬度结果和近似算法。最后,虽然通常我们的问题很难近似,但我们表明,允许资源增加可以获得最优解。我们的研究在实时调度中也有应用。
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Optimizing Bandwidth Allocation in Flex-Grid Optical Networks with Application to Scheduling
All-optical networks have been largely investigated due to their high data transmission rates. In the traditional Wavelength-Division Multiplexing (WDM) technology, the spectrum of light that can be transmitted through the optical fiber has been divided into frequency intervals of fixed width, with a gap of unused frequencies between them. Recently, an alternative emerging architecture was suggested which moves away from the rigid Dense WDM (DWDM) model towards a flexible model, where usable frequency intervals are of variable width (even within the same link). Each light path has to be assigned a frequency interval (sub-spectrum), which remains fixed through all of the links it traverses. Two different light paths using the same link must be assigned disjoint sub-spectra. This technology is termed flex-grid (or, flex-spectrum), as opposed to fixed-grid (or, fixed-spectrum) current technology. In this work we study a problem of optimal bandwidth allocation arising in the flex-grid technology. In this setting, each light path has a lower and upper bound on the width of its frequency interval, as well as an associated profit, and we want to find a bandwidth assignment that maximizes the total profit. This problem is known to be NP-Complete. We observe that, in fact, the problem is inapproximable within any constant ratio even on a path network. We further derive NP-hardness results and present approximation algorithms for several special cases of the path and ring networks, which are of practical interest. Finally, while in general our problem is hard to approximate, we show that an optimal solution can be obtained by allowing resource augmentation. Our study has applications also in real time scheduling.
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