【摘要】 混合线路速率场景下光传送网业务的路由和资源分配问题需要进行特定研究;根据网络的总代价更新蚁群的信息素表,对网络进行虚拓扑重构,由此实现基于蚁群算法的光网络路由和资源分配问题的启发式算法;并通过控制业务光路的时延来平衡网络的服务质量和成本.通过与k短路算法的仿真比较得出,对网络总代价而言,在不同的网络负载下,相对k短路算法,本算法拥有20%左右的性能优势;通过对不同线路速率及混合线路速率下的性能比较得出,本算法能很好地适应混合线路速率的场景并实现其优势,对解决混合线路速率场景下的光传送网业务路由和资源分配问题拥有良好的效果.更多还原

【Abstract】 The problem of routing and resources allocating in mixed-line-rate optical tranport network should be specefied studied.Ant pheromone table was upated according to the current network cost and the network vitual topology was reconstructed.Based on the iterative optimization features of ant colony optimization,the network routing and resource allocation algorithm was proposed.By control the delay of traffic lightpath,network cost and quality of service was balanced.In simulation,by comparing the performance of the algorithm and the kshortest path algorithm,it was found that the algorithm has a better performance(20%)in terms of network cost.By comparing the performance of the algorithm in solid line rate network and mixed line rate network,it was found that the algorithm fits the mixed line rate network well.The algorithm has a exelent performance in the case of mixed line rate optical tranport network.更多还原