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针对弹性光网络中业务的选路、频谱分配进行了研究,考虑到物理节点对业务安全性的影响,建立了以满足业务最低安全级别要求为约束、以最小化网络中最大占用频隙号为优化目标的全局约束优化模型。为有效求解该约束优化模型,设计了全局优化算法。将疏导后的业务按照某种排序策略进行排序,为每个业务选择K条满足业务最低安全级别要求的路径。利用改进的遗传算法为每个业务选择合适的路径并确定最优的频谱分配方案,使得网络中最大占用频谱号最小。为验证该算法的有效性,在不同的网络拓扑中进行了仿真,结果表明,所设计的算法可实现高效的频谱分配。
In view of the routing and spectrum allocation of the service in the elastic optical network, taking into account the impact of the physical node on the service security, the minimum security level of the service is set as a constraint to minimize the maximum occupied frequency slot number in the network as Global Optimization Model of Optimization Target. In order to effectively solve the constrained optimization model, a global optimization algorithm is designed. Sort the diversified services according to a certain sorting strategy and select K paths for each service to meet the minimum security level of the service. An improved genetic algorithm is used to select the appropriate path for each service and determine the optimal spectrum allocation scheme so as to minimize the maximum occupied spectrum number in the network. To verify the effectiveness of the proposed algorithm, simulations were conducted in different network topologies. The results show that the proposed algorithm can achieve efficient spectrum allocation.