弹性光网络中基于频谱连续度的算法研究

Research on Algorithm Based on Spectral Continuity in Elastic Optical Networks

针对光网络中可用的波长资源有限、频谱利用率不高的问题,提出了一种基于KSP算法的频谱连续度感知算法(KSPDP)。该方法在路由选择方面,用KSP算法求得源节点和目的节点之间的不同的路径长度,并根据业务请求所需的频谱资源数量,分配不同的路径。在频谱分配方面,算法将感知各链路的频谱连续情况,最大限度减少业务分配的路径上各链路的频谱碎片。仿真结果表明,所提出的算法与传统的最短路径RMSA算法相比,能降低频谱阻塞率,提高频谱资源利用率。

Aiming at the problems of limited available wavelength resources and low spectrum utilization in optical net-works,a spectrum continuity degree perception algorithm(DP)based on KSP algorithm is proposed.In terms of routing,the KSP algorithm is used to obtain different path lengths between source and destination nodes,and different paths are allocated according to the amount of spectrum resources required for service requests.In terms of spectrum allocation,the algorithm will perceive the spectrum continuity of each link and minimize the spectrum fragments of each link on the service allocated path.The simulation results show that the proposed algorithm can reduce the spectrum blocking probability and improve the spectrum utilization compared with the traditional shortest path RMSA algorithm.