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On-line optimal wavelength assignment in WDM networks with shared wavelength converter pool

机译:具有共享波长转换器池的WDM网络中的在线最佳波长分配

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In this paper we study on-line wavelength assignment in wavelength-routed WDM networks under both unicast and multicast traffic. We assume nodes in the networks have wavelength conversion ability. Since wavelength converters are still expensive and difficult to implement, we consider the networks that have only a limited number of converters in each node, and the converters are shared by all input channels at the node. We consider how to set up connections in such networks using as few wavelength converters as possible. For unicast traffic, we first study the problem of setting up a lightpath on a given link path with minimum number of conversions, and give a new algorithm that solves it in O(tk) time, where t is the number of links on the path and k is the number of wavelengths per fiber, as compared to the best known existing algorithm that runs in at least O(t/sup 2/k) time. We also consider the case when nodes have different conversion priorities, and give an O(tk) time algorithm for setting up a lightpath on a given link path while converting wavelength at higher priority nodes only when necessary. We then generalize this technique to WDM networks with arbitrary topologies and present an algorithm that sets up an optimal lightpath network-wide in O(Nk + Lk) time by checking the state of the entire network, where N and L are the number of nodes and links in the network, respectively. For multicast traffic, finding an optimal multicast light-tree is known to be NP-hard and is usually solved by first finding a link tree then finding a light tree on the link tree. Finding a link tree is also NP-hard and has been extensively studied. Thus, we focus on the second problem which is to set up a light tree on a given link tree with minimum number of conversions. We propose a new and more practical multicast conversion model, where the output of the wavelength converter can be split. As can be seen, the new model can save the usage of converters considerably. We first show that this problem is NP-hard and then give efficient heuristics to solve it approximately.
机译:在本文中,我们研究了单播和多播流量下波长路由WDM网络中的在线波长分配。我们假设网络中的节点具有波长转换能力。由于波长转换器仍然昂贵且难以实现,因此我们考虑在每个节点中只有有限数量的转换器的网络,并且该节点的所有输入通道共享这些转换器。我们考虑如何在此类网络中使用尽可能少的波长转换器来建立连接。对于单播流量,我们首先研究在给定的链接路径上以最少的转换次数设置光路径的问题,然后给出一种新算法,可以在O(tk)时间内解决该问题,其中t是路径上的链接数k是与至少在O(t / sup 2 / k)时间内运行的最知名的现有算法相比,每根光纤的波长数。我们还考虑了节点具有不同转换优先级的情况,并给出了O(tk)时间算法来在给定的链路路径上建立光路,同时仅在必要时才在较高优先级的节点处转换波长。然后,我们将这项技术推广到具有任意拓扑的WDM网络,并提出一种算法,该算法通过检查整个网络的状态来在O(Nk + Lk)时间内在整个网络范围内设置最佳光路,其中N和L是节点数和网络中的链接。对于多播流量,找到一个最佳的多播光树被认为是NP困难的,通常可以通过首先找到一个链接树然后在该链接树上找到一个光树来解决。查找链接树也是NP难题,并且已经进行了广泛的研究。因此,我们关注第二个问题,即在给定的链接树上以最少的转换次数设置一棵轻树。我们提出了一种新的,更实用的多播转换模型,在该模型中可以拆分波长转换器的输出。可以看出,新模型可以大大节省转换器的使用。我们首先证明这个问题是NP难的,然后给出有效的启发式方法来近似解决它。

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