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Variable Sized Online Interval Coloring with Bandwidth

机译:具有带宽的可变大小的在线间隔着色

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We consider online coloring of intervals with bandwidth in a setting where colors have variable capacities. Whenever the algorithm opens a new color, it must choose the capacity for that color and cannot change it later. The goal is to minimize the total capacity of all the colors used. We consider the bounded model, where all capacities must be chosen in the range (0,1], and the unbounded model, where the algorithm may use colors of any positive capacity. For the absolute competitive ratio, we give an upper bound of 14 and a lower bound of 4.59 for the bounded model, and an upper bound of 4 and a matching lower bound of 4 for the unbounded model. We also consider the offline version of these problems and show that the unbounded model is polynomially solvable, while the bounded model is NP-hard in the strong sense and admits a 3.6-approximation algorithm.
机译:我们考虑在颜色具有可变容量的情况下,对具有带宽的间隔进行在线着色。每当算法打开新颜色时,它都必须选择该颜色的容量,并且以后不能更改。目标是使所有使用的颜色的总容量最小化。我们考虑必须在(0,1]范围内选择所有容量的有界模型,以及该算法可以使用任何正容量的颜色的无界模型,对于绝对竞争比,我们给出上限14边界模型的下限为4.59,无边界模型的上限为4,匹配的下限为4。我们还考虑了这些问题的离线版本,并表明无边界模型是可多项式可解的,而有界模型在很强的意义上是NP-hard的,并且接受3.6近似算法。

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