One of the fundamental and most-studied algorithmic problems in distributed computing on networks is graph coloring, both in bounded-degree and in general graphs. Recently, the study of this problem has been extended in two directions. First, the problem of recoloring, that is computing an efficient transformation between two given colorings (instead of computing a new coloring), has been considered, both to model radio network updates, and as a useful subroutine for coloring. Second, as it appears that general graphs and bounded-degree graphs do not model real networks very well (with, respectively, pathological worst-case topologies and too strong assumptions), coloring has been studied in more specific graph classes. In this paper, we study the intersection of these two directions: distributed recoloring in two relevant graph classes, interval and chordal graphs.
翻译:在网络上分布式计算中,最基本和最受研究的算法问题之一是图解色,既在约束度图中,又在一般图中。最近,这一问题的研究被扩展为两个方向。首先,在两个给定的颜色(而不是计算新的颜色)之间计算有效转换的重新彩色问题已经得到了考虑,这既是为了模拟无线电网络的更新,也是一种有用的子彩色。第二,由于一般图和约束度图似乎不很好地模拟真实网络(分别用病理上最坏的地形和过于强烈的假设),因此在更具体的图表类中研究了彩色问题。在本论文中,我们研究了这两个方向的交叉点:在两个相关的图形类、间距和圆形图中分布的重新颜色。