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GMPLS Routing Strategies based on the Design of Hypergraph Layouts

机译:基于超图布局设计的GMPLS路由策略

摘要

All-Optical Label Switching (AOLS) is a new technology that performs packet forwarding without any Optical-Electrical-Optical (OEO) conversions. In this paper, we study the problem of routing a set of requests in AOLS networks using GMPLS technology, with the aim of minimizing the number of labels required to ensure the forwarding. We first formalize the problem by associating to each routing strategy a logical hypergraph whose hyperedges are dipaths of the physical graph, called tunnels in GMPLS terminology. Such a hypergraph is called a hypergraph layout, to which we assign a cost function given by its physical length plus the total number of hops traveled by the traffic. Minimizing the cost of the design of an AOLS network can then be expressed as finding a minimum cost hypergraph layout. We prove hardness results for the problem, namely C log n hardness for directed networks and non-existence of PTAS for undirected networks, where C is a a positive constant and n is the number of nodes of the network. These hardness results hold even is the traffic instance is a partial broadcast. On the other hand, we provide an O(log n)-approximation algorithm to the problem for a general network. Finally, we focus on the case where the physical network is a path, providing a polynomial-time dynamic programming algorithm for a bounded number of sources, thus extending the algorithm of [BCM+09b] for a single source.
机译:全光标签交换(AOLS)是一项无需进行任何光电-光电(OEO)转换即可执行数据包转发的新技术。在本文中,我们研究了使用GMPLS技术在AOLS网络中路由一组请求的问题,目的是最大限度地减少确保转发所需的标签数量。我们首先通过将每个逻辑策略的超边关联到物理路由的双路径(在GMPLS术语中称为隧道),将逻辑超图与每个路由策略相关联,来对问题进行形式化。这种超图称为超图布局,我们为其分配了一个成本函数,该成本函数由其物理长度加上流量所经过的跃点总数给出。然后,将设计AOLS网络的成本最小化可以表示为找到最小成本的超图布局。我们证明了该问题的硬度结果,即针对有向网络的C log n硬度和对于无向网络的PTAS不存在,其中C为正常数,n为网络的节点数。即使流量实例是部分广播,这些硬度结果也保持不变。另一方面,我们为一般网络的问题提供了O(log n)近似算法。最后,我们关注物理网络是路径的情况,为有限数量的源提供多项式时间动态规划算法,从而将[BCM + 09b]的算法扩展为单个源。

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