In this work the spectrum and power allocation (SPA) trade-off in elastic optical network (EON) is discussed in terms of the residual margin and residual spectrum in real-time application, both terms refer to the normalization of the sum-power and sum-spectrum in the resource allocation, respectively. Realistic scenarios have been investigated using optical performance monitoring techniques to measure the quality of transmission (QoT). The SPA-EON problem is formulated and three algorithms finding improved performance-complexity trade-offs are proposed to solve it: i) an analytical method based on combinatorial optimization, namely SPA-CO algorithm, ensuring the optimal solution but with a high computational cost; ii) a sub-optimum low-complexity method based on distance adaptive transmission (DAT), namely SPA-DAT, and iii) an SPA algorithm based on the distributed Verhulst algorithm, namely SPA-V, which achieves good solutions under acceptable computational time. A bunch of metrics, including probability of success, sum-power, and allocated spectrum are evaluated for the three SPA algorithms. The SPA-V was proved to be promising in EON operation, achieving the best performance-complexity trade-off.

在这项工作中，弹性光网络 (EON) 中的频谱和功率分配 (SPA) 权衡根据实时应用中的剩余余量和剩余频谱进行了讨论，这两个术语均指总功率和资源分配中的和谱，分别。已经使用光学性能监测技术来测量传输质量 (QoT) 来研究现实场景。提出了 SPA-EON 问题，并提出了三种寻找改进的性能-复杂性权衡的算法来解决它：i ) 基于组合优化的分析方法，即 SPA-CO 算法，确保最优解但计算成本高; ii) 基于距离自适应传输 (DAT) 的次优低复杂度方法，即 SPA-DAT，以及iii ) 基于分布式 Verhulst 算法的 SPA 算法，即 SPA-V，它在可接受的计算时间下实现了良好的解决方案。对三种 SPA 算法评估了一系列指标，包括成功概率、总功率和分配的频谱。SPA-V 被证明在 EON 操作中很有前途，实现了最佳的性能-复杂性权衡。