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Traffic grooming in WDM mesh networks using dynamic path selection strategy

机译:WDM网状网络中使用动态路径选择策略的流量疏导

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In wavelength-division multiplexing (WDM) optical networks, the bandwidth request of a traffic stream can be much lower than the capacity of a lightpath. Therefore, to utilize the network resources (such as bandwidth and transceivers) effectively, several low-speed traffic streams can be efficiently groomed or multiplexed into high-speed lightpaths, thus we can improve the network throughput and reduce the network cost. Traffic grooming can be considered separately at each individual node based on only local information (local grooming), or in cooperation between nodes participating in grooming (global grooming). In the second case, nodes must exchange their information about available resources and grooming strategies. The grooming problem of a static demand is considered as an optimization problem. In this work, we have proposed a traffic grooming algorithm to maximize the network throughput for wavelength-routed mesh networks. The efficiency of our approach has been established through extensive simulation on different sets of traffic demands with different bandwidth granularities for different network topologies and compared the approach with existing algorithm.
机译:在波分复用(WDM)光网络中,业务流的带宽请求可能比光路的容量低得多。因此,为了有效地利用网络资源(例如带宽和收发器),可以有效地整理或将多个低速通信流复用或复用为高速光路,从而可以提高网络吞吐量并降低网络成本。可以仅基于本地信息在每个单独的节点上单独考虑流量梳理(本地梳理),也可以在参与梳理的节点之间进行协作(全局梳理)。在第二种情况下,节点必须交换有关可用资源和整理策略的信息。静态需求的修饰问题被视为优化问题。在这项工作中,我们提出了一种流量疏导算法,以最大化波长路由网状网络的网络吞吐量。我们的方法的效率是通过对不同流量需求集(具有不同带宽粒度,针对不同网络拓扑)进行广泛的仿真,并将其与现有算法进行比较而建立的。

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