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A Distributed Clustering Method for Hierarchical Routing in Large-Scaled Wavelength Routed Networks

机译:大规模波长路由网络中分层路由的分布式聚类方法

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摘要

The scalability of routing protocol has been considered as a key issue in large-scaled wavelength routed networks. Hierarchical routing scales well by yielding enormous reductions in routing table length, but it also increases path length. This increased path length in wavelength-routed networks leads to increased blocking probability because longer paths tend to have less free wavelength channels. However, if the routes assigned to longer paths have greater wavelength resources, we can expect that the blocking probability will not increase. In this paper, we propose a distributed node-clustering method that maximizes the number of lightpaths between nodes. The key idea behind our method is to construct node-clusters that have much greater wavelength resources from the ingress border nodes to the egress border nodes, which increases the wavelength resources on the routes of lightpaths between nodes. We evaluate the blocking probability for lightpath requests and the maximum table length in simulation experiments. We find that the method we propose significantly reduces the table length, while the blocking probability is almost the same as that without clustering.
机译:路由协议的可伸缩性已被认为是大规模波长路由网络中的关键问题。分层路由可以通过极大地减少路由表的长度来很好地扩展,但同时也会增加路径长度。波长路由网络中这种增加的路径长度会导致阻塞概率增加,因为较长的路径倾向于具有较少的自由波长通道。但是,如果分配给较长路径的路由具有更大的波长资源,则可以预期阻塞概率不会增加。在本文中,我们提出了一种分布式节点聚类方法,该方法可使节点之间的光路数量最大化。我们方法背后的关键思想是构造从入口边界节点到出口边界节点具有更大波长资源的节点群集,这会增加节点之间光路路径上的波长资源。我们在模拟实验中评估了光路请求的阻塞概率和最大表长度。我们发现,我们提出的方法显着减少了表的长度,而阻塞几率与没有聚类的几率几乎相同。

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