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Heuristic algorithms for multicast traffic grooming in WDM mesh networks

机译:WDM网状网络中用于组播流量整理的启发式算法

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Multicast traffic grooming is used to multiplex or groom multiple low bandwidth multicast connections into a high bandwidth wavelength channel or light-tree to increase the utilization of wavelength. However, multicast traffic grooming is NP-hard problem. Thus, we propose two heuristic algorithms with polynomial complexities, called Adjacent Node Component based Grooming for Throughput (ANCG-T) and Dividable Light-Tree Grooming (DLTG) algorithm, to achieve scalable design for realistic networks in realistic networks. ANCG-T algorithm is to divide light-tree into sub-light-trees which are within two optical hops, to increase sharing of resources. DLTG algorithm is based on grooming traffic to light-trees and also on dividing a light-tree to sub-light-trees and then grooming traffic to these sub-light-trees to improve resource utilization. Simulations show that both the algorithms have throughput performances which are very close to optimal results, and that the DLTG algorithm can achieve better network throughput than the ANCG-T algorithm.
机译:组播流量整理用于将多个低带宽组播连接复用或整理到高带宽波长通道或光树中,以增加波长的利用率。但是,多播流量修饰是NP难题。因此,我们提出了两种具有多项式复杂性的启发式算法,分别称为基于相邻节点组件的吞吐量梳理(ANCG-T)和可划分的轻树梳理(DLTG)算法,以实现现实网络中现实网络的可扩展设计。 ANCG-T算法是将光树分为两个光跳内的子光树,以增加资源共享。 DLTG算法基于将流量疏导到轻型树,还基于将轻树划分为子轻型树,然后将流量疏散到这些子轻树,以提高资源利用率。仿真表明,两种算法的吞吐性能都非常接近最优结果,并且DLTG算法比ANCG-T算法可以获得更好的网络吞吐率。

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