WDM网络中基于分簇的静态业务量疏导算法

A clustering-based static traffic grooming algorithm in WDM networks

针对大多数文献中报道的静态业务量疏导技术不适用于大型光网络的问题,文章基于分簇思想提出了一种有效的静态业务量疏导算法。该方法将大型光网络划分为若干个相互独立的簇,并在每个簇中选择一个节点作为簇头节点来负责簇内和簇间的业务量疏导。仿真结果表明:该算法与已知的静态业务量疏导算法相比具有更好的性能。

As most of the static traffic grooming technology is,as reported in relevant literature,not applicable to large-scale optical networks,this paper presents an effective clustering-based static traffic grooming algorithm.When this method is applied,the network is decomposed into clusters of different hierarchical levels,and one node in every cluster is chosen as the head-node in charge of inter-and intra-traffic grooming.Simulation results show that this algorithm performs better than other known static traffic algorithms.