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On the Minimum Load Coloring Problem

  • Conference paper
Approximation and Online Algorithms (WAOA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3879))

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Abstract

Given a graph G=(V,E) with n vertices, m edges and maximum vertex degree Δ, the load distribution of a coloring . \(\varphi: V \longrightarrow\) red, blue is a pair d ϕ  = (r ϕ , b ϕ ), where r ϕ is the number of edges with at least one end-vertex colored red and b ϕ is the number of edges with at least one end-vertex colored blue. Our aim is to find a coloring ϕ such that the (maximum) load, l ϕ := max{r ϕ , b ϕ }, is minimized. The problem has applications in broadcast WDM communication networks (Ageev et al., 2004). After proving that the general problem is NP-hard we give a polynomial time algorithm for optimal colorings of trees and show that the optimal load is at most m/2+\({\it \Delta}\)log2 n. For graphs with genus g>0, we show that a coloring with load OPT(1 + o(1)) can be computed in O(n+g)-time, if the maximum degree satisfies \({\it \Delta} = o(\frac{m^{2}}{ng})\) and an embedding is given. In the general situation we show that a coloring with load at most \({\frac{3} {4}}m+O({\sqrt{{\it \Delta}m}})\) can be found in deterministic polynomial time using a derandomized version of Azuma’s martingale inequality. This bound describes the “typical” situation: in the random multi-graph model we prove that for almost all graphs, the optimal load is at least \(\frac{3}{4}m - {\sqrt{3mn}}\) . Finally, we generalize our results to k–colorings for k > 2.

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© 2006 Springer-Verlag Berlin Heidelberg

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Ahuja, N., Baltz, A., Doerr, B., Přívětivý, A., Srivastav, A. (2006). On the Minimum Load Coloring Problem. In: Erlebach, T., Persinao, G. (eds) Approximation and Online Algorithms. WAOA 2005. Lecture Notes in Computer Science, vol 3879. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11671411_2

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  • DOI: https://doi.org/10.1007/11671411_2

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-32207-8

  • Online ISBN: 978-3-540-32208-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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