On non-superperfection of edge intersection graphs of paths

IF 0.9 4区 数学 Q3 MATHEMATICS, APPLIED
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引用次数: 0

Abstract

The routing and spectrum assignment problem in modern flexgrid elastic optical networks asks for assigning to given demands a route in an optical network and a channel within an optical frequency spectrum so that the channels of two demands are disjoint whenever their routes share a link in the optical network. This problem can be modeled in two phases: firstly, a selection of paths in the network and, secondly, an interval coloring problem in the edge intersection graph of these paths. The interval chromatic number equals the smallest size of a spectrum such that a proper interval coloring is possible, the weighted clique number is a natural lower bound. Graphs where both parameters coincide for all possible non-negative integral weights are called superperfect. Therefore, the occurrence of non-superperfect edge intersection graphs of routing paths can provoke the need of larger spectral resources. In this work, we examine the question which minimal non-superperfect graphs can occur in the edge intersection graphs of routing paths in different underlying networks: when the network is a path, a tree, a cycle, or a sparse planar graph with small maximum degree. We show that for any possible network (even if it is restricted to a path) the resulting edge intersection graphs are not necessarily superperfect. We close with a discussion of possible consequences and of some lines of future research.

论路径边交图的非超完美性
现代柔性光栅弹性光网络中的路由和频谱分配问题要求为给定需求分配光网络中的一条路由和光频谱中的一个信道,这样,只要两个需求的路由共享光网络中的一个链路,它们的信道就不相交。该问题可分为两个阶段:首先是网络中路径的选择,其次是这些路径的边交图中的区间着色问题。区间色度数等于可以进行适当区间着色的光谱的最小尺寸,加权小块数是一个自然下限。对于所有可能的非负积分权重,两个参数都重合的图被称为超完美图。因此,路由路径的非超完美边交叉图的出现会引起对更大谱资源的需求。在这项工作中,我们研究了在不同的底层网络中,路由路径的边缘交集图中可能出现哪些最小非超完美图的问题:当网络是一条路径、一棵树、一个循环或一个具有较小最大度的稀疏平面图时。我们证明,对于任何可能的网络(即使仅限于路径),所产生的边缘交集图都不一定是超完美的。最后,我们讨论了可能的结果和未来的一些研究方向。
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来源期刊
Discrete Optimization
Discrete Optimization 管理科学-应用数学
CiteScore
2.10
自引率
9.10%
发文量
30
审稿时长
>12 weeks
期刊介绍: Discrete Optimization publishes research papers on the mathematical, computational and applied aspects of all areas of integer programming and combinatorial optimization. In addition to reports on mathematical results pertinent to discrete optimization, the journal welcomes submissions on algorithmic developments, computational experiments, and novel applications (in particular, large-scale and real-time applications). The journal also publishes clearly labelled surveys, reviews, short notes, and open problems. Manuscripts submitted for possible publication to Discrete Optimization should report on original research, should not have been previously published, and should not be under consideration for publication by any other journal.
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