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Multicast Traffic Grooming based Light-Tree in WDM Mesh Networks

机译:基于多播交通梳理WDM网状网络的光图

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Multicast applications such as video conferencing, weather forecasting and on-line multi player gaming are major areas of Internet traffic growth. The disparity between bandwidth offered by a wavelength and the bandwidth requirement of a multicast connection can be purposefully solved by grooming low bandwidth connection requests into a high bandwidth wavelength channel in an optical network. In this paper, we discuss multicast traffic grooming problem using light-tree approach with static multicast connection requests. As higher layer electronic ports such as transmitters and receivers are dominant cost factors in a WDM mesh networks, it is critical to reduce their number when grooming multicast traffic into high bandwidth trees. This paper propose a heuristic algorithm called Saturated-Light-Tree based Multicast Traffic Grooming (SLTMTG) that solves grooming, routing and wavelength assignment problems. SLTMTG algorithm is based on grooming of multicast traffic to constrained light-trees in which traffic is groomed for better resource utilizations. This approach is used to minimize the grooming cost as well as wavelength requirement. Here, proposed approach tries to satisfy all connection requests. The performance of proposed algorithm has compared with existing Multicast Traffic Grooming (MTG) algorithm. The results are compared on several standard networks to measure cost and wavelength utilization.
机译:视频会议,天气预报和在线多人多人游戏等多播应用是互联网流量增长的主要领域。通过在光网络中的高带宽波长信道中,可以故意通过将低带宽连接请求进行了解到光网络中的高带宽波长信道之间的波长和多播连接的带宽需求之间的差距。在本文中,我们使用带有静态组播连接请求的轻树方法讨论多播流量修饰问题。由于诸如发射器和接收器之类的更高层电子端口是WDM网状网络中的主要成本因素,因此在将多播流量传播到高带宽树中时,减少它们的数量至关重要。本文提出了一种称为饱和浅树的多播流量修饰(SLTMTG)的启发式算法,解决了修饰,路由和波长分配问题。 SLTMTG算法基于组播流量的修饰,以约束用于更好地利用流量的浅树曲线。这种方法用于最小化梳理成本以及波长需求。这里,提出的方法试图满足所有连接请求。与现有的多播交通梳理(MTG)算法相比,所提出的算法的性能。将结果与几个标准网络进行比较以测量成本和波长利用率。

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