Abstract
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.
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Epstein, L., Erlebach, T., Levin, A. (2006). Variable Sized Online Interval Coloring with Bandwidth. In: Arge, L., Freivalds, R. (eds) Algorithm Theory – SWAT 2006. SWAT 2006. Lecture Notes in Computer Science, vol 4059. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11785293_6
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DOI: https://doi.org/10.1007/11785293_6
Publisher Name: Springer, Berlin, Heidelberg
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