光网络中基于预定组播业务的资源优化

Scheduled-multicast-traffic-based resource optimization in optical networks

文章利用遗传算法安排光网络中预定组播业务的计算顺序,提出了优化业务顺序的分层图算法和点着色算法,并与按时间顺序安排业务的算法进行了比较。仿真表明,优化排序后,资源优化效果明显。在波长数的优化上,分层图算法比点着色算法性能更好。在分层图算法中,业务放置顺序的优化对组播树总链路数的减少也有一定帮助。

In this article, we have proposed the layered graph algorithm and vertex coloring algorithm for optimized traffic sequence, which use genetic algorithm to arrange the calculation order of the scheduled muhicast traffic in optical networks and compared them with the algorithm that arranges traffics in temporal sequence. Simulations show that the resource optimization effect after sequence optimization is evident and the layered graph algorithm outperforms the vertex coloring algorithm for the optimization of the number of the wavelengths. Besides, in layered graph algorithm, optimized traffic arrangement sequence also helps reduce the total link number of the multicast tree.