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首页> 外文期刊>Optics Communications: A Journal Devoted to the Rapid Publication of Short Contributions in the Field of Optics and Interaction of Light with Matter >Statistical analysis of blocking probability and fragmentation based on Markov modeling of elastic spectrum allocation on fiber link
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Statistical analysis of blocking probability and fragmentation based on Markov modeling of elastic spectrum allocation on fiber link

机译:基于光纤链路弹性频谱分配的马尔可夫模型的阻塞概率和碎片统计分析

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In Elastic Optical Network (EON), spectrum fragmentation refers to the existence of non-aligned, small-sized blocks of free subcarrier slots in the optical spectrum. Several metrics have been proposed in order to quantify a level of spectrum fragmentation. Approximation methods might be used for estimating average blocking probability and some fragmentation measures, but are so far unable to accurately evaluate the influence of different sizes of:connection requests and do not allow in-depth investigation of blocking events and their relation to fragmentation. The analytical study of the effect of fragmentation on requests' blocking probability is still under explored In this work, we introduce new definitions for blocking that differentiate between the reasons for the blocking events. We developed a framework based on Markov modeling to calculate steady-state probabilities for the different blocking events and to analyze fragmentation related problems in elastic optical links under dynamic traffic conditions. This framework can also be used for evaluation of different definitions of fragmentation in terms of their relation to the blocking probability. We investigate how different allocation request sizes contribute to fragmentation and blocking probability. Moreover, we show to which extend blocking events, due to insufficient amount of available resources, become inevitable and, compared to the amount of blocking events due to fragmented spectrum, we draw conclusions on the possible gains one cart achieve by system defragmentation. We also show how efficient spectrum allocation policies really are in reducing the part of fragmentation that in particular leads to actual blocking events. Simulation experiments are carried out showing good match with our analytical results for blocking probability in a small scale scenario. Simulated blocking probabilities for the different blocking events are provided for a larger scale elastic optical link. (C) 2015 Elsevier B.V. All rights reserved.
机译:在弹性光网络(EON)中,频谱碎片是指光谱中存在不对齐的,小尺寸的空闲子载波时隙块。为了量化频谱碎片化的水平,已经提出了几种度量。近似方法可能用于估计平均阻塞概率和一些碎片度量,但是到目前为止,它们仍无法准确地评估不同大小的连接请求的影响,并且无法深入研究阻塞事件及其与碎片的关系。关于碎片对请求的阻止概率的影响的分析研究仍在探索中。在这项工作中,我们引入了新的阻止定义,以区分阻止事件的原因。我们开发了基于马尔可夫模型的框架,以计算不同阻塞事件的稳态概率,并分析动态交通条件下弹性光链路中与碎片相关的问题。根据其与阻塞概率的关系,该框架还可用于评估碎片的不同定义。我们研究了不同的分配请求大小如何导致碎片和阻塞概率。此外,我们显示了由于可用资源不足而导致阻塞事件不可避免的情况,并且与频谱碎片造成的阻塞事件数量相比,我们得出了关于通过系统碎片整理获得一辆推车的可能收益的结论。我们还展示了频谱分配策略在减少碎片化部分(尤其是导致实际阻塞事件)方面的有效性。进行的仿真实验表明,与我们的分析结果非常吻合,在小规模场景中,其阻塞概率也很高。为较大规模的弹性光链路提供了不同阻塞事件的模拟阻塞概率。 (C)2015 Elsevier B.V.保留所有权利。

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