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A genetic algorithm based approach for traffic grooming, routing and wavelength assignment in optical WDM mesh networks

机译:基于遗传算法的光学WDM网状网络中的流量展开,路由和波长分配方法

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In wavelength routed optical networks, each optical link is capable of carrying traffic using several wavelengths and each wavelength as well as lightpath support traffic in the Gbps range. On the other hand, the traffic requested by individual connection is still in the Mbps range. Therefore, to utilize the network resources (bandwidth, transceivers, etc.) effectively, several low-speed traffic streams have to be efficiently groomed or multiplexed into a high-speed lightpath. In this work, we have investigated the traffic grooming problem with the objective of maximizing the network throughput for wavelength routed mesh networks. We have proposed an algorithm to handle general multi-hop static traffic grooming based on genetic algorithm. The efficacy of our approach has been established through extensive simulation on different sets of traffic demands under different network topologies and compared with an efficient heuristics proposed in the literature.
机译:在波长路由光网络中,每个光链路能够使用多个波长和每个波长以及GBPS范围内的光路支持业务来携带流量。另一方面,各个连接所要求的流量仍在Mbps范围内。因此,为了有效地利用网络资源(带宽,收发器等),必须将几个低速业务流有效地修整或多路复用成高速光路。在这项工作中,我们研究了流量修饰问题,目的是最大化波长路由网网络的网络吞吐量。我们提出了一种基于遗传算法处理一般多跳静态流量展开的算法。通过对不同网络拓扑结构的不同交通需求的广泛模拟,并与文献中提出的高效启发式进行了广泛的仿真,通过广泛的模拟建立了我们的方法。

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