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Quality of transmission-aware control plane performance analysis for elastic optical networks
Computer Networks ( IF 5.6 ) Pub Date : 2020-12-24 , DOI: 10.1016/j.comnet.2020.107755
Arash Rezaee , Omid Akbari Sheikhabad , Lotfollah Beygi

Physical layer impairment-aware control plane techniques are studied for dynamic networking of elastic optical networks (EONs). To this end, performance of three control plane architectures, the generalized multi-protocol label switching (GMPLS), the GMPLS method with a path computation element unit, and the software-defined networking (SDN), are analyzed considering nonlinear interference (NLI) noise (consisting of self-phase and cross-phase modulation effects) and amplified spontaneous emission noise. Signal-to-noise ratio estimation of all the control plane architectures is performed by means of the well established gaussian noise model. To reduce the blocking probability caused by the NLI noise in EONs, an impairment-aware routing and spectrum assignment algorithm is proposed to ensure a required quality of transmission for requested light-paths. Moreover, transmit launch power influence on blocking probability is investigated exploiting extensive numerical simulations based on stochastic traffic modeling for the investigated control plane architectures in Pan-European and national science foundation network (NSFNET) topologies. The numerical results show nearly 50% improvement in blocking probability of the SDN control plane by applying an impairment aware scheme at traffics around 200 Erlang. Furthermore, the results indicate that the lowest blocking probability is observed at a transmit power of 0 dBm for all the control plane techniques.



中文翻译:

弹性光网络的传输感知控制平面性能分析的质量

研究了物理层感知损害的控制平面技术,用于弹性光网络(EON)的动态联网。为此,考虑了非线性干扰(NLI),分析了三种控制平面体系结构的性能,广义的多协议标签交换(GMPLS),具有路径计算元素单元的GMPLS方法和软件定义的网络(SDN)噪声(包括自相位和交叉相位调制效果)和放大的自发发射噪声。所有控制平面架构的信噪比估算都是通过完善的高斯噪声模型进行的。为了减少EON中NLI噪声引起的阻塞概率,提出了一种损伤感知路由和频谱分配算法,以确保所请求的光路具有所需的传输质量。此外,在泛欧和国家科学基金会网络(NSFNET)拓扑中,基于随机流量建模的广泛数值模拟,研究了发射发射功率对阻塞概率的影响。数值结果表明,通过在200 Erlang附近的流量中应用减损感知方案,SDN控制平面的阻塞概率提高了近50%。此外,结果表明,对于所有控制平面技术,在0 dBm的发射功率下观察到最低的阻塞概率。在泛欧和国家科学基金会网络(NSFNET)拓扑中,基于随机流量建模的广泛数值模拟,研究了发射发射功率对阻塞概率的影响。数值结果表明,通过在200 Erlang附近的流量中应用减损感知方案,SDN控制平面的阻塞概率提高了近50%。此外,结果表明,对于所有控制平面技术,在0 dBm的发射功率下观察到最低的阻塞概率。在泛欧和国家科学基金会网络(NSFNET)拓扑中,基于随机流量建模的广泛数值模拟,研究了发射发射功率对阻塞概率的影响。数值结果表明,通过在200 Erlang附近的流量中应用减损感知方案,SDN控制平面的阻塞概率提高了近50%。此外,结果表明,对于所有控制平面技术,在0 dBm的发射功率下观察到最低的阻塞概率。数值结果表明,通过在200 Erlang附近的流量中应用减损感知方案,SDN控制平面的阻塞概率提高了近50%。此外,结果表明,对于所有控制平面技术,在0 dBm的发射功率下观察到最低的阻塞概率。数值结果表明,通过在200 Erlang附近的流量中应用减损感知方案,SDN控制平面的阻塞概率提高了近50%。此外,结果表明,对于所有控制平面技术,在0 dBm的发射功率下观察到最低的阻塞概率。

更新日期:2021-01-10
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