Approximation Algorithms for Buy-at-Bulk Geometric Network Design

  • Authors:
  • Artur Czumaj;Jurek Czyzowicz;Leszek Gąsieniec;Jesper Jansson;Andrzej Lingas;Pawel Zylinski

  • Affiliations:
  • Centre for Discrete Mathematics and its Applications (DIMAP) and Department of Computer Science, University of Warwick, UK;Departement d'Informatique, Universite du Quebec en Outaouais, Gatineau, Quebec, Canada J8X 3X7;Department of Computer Science, University of Liverpool, UK L69 7ZF;Ochanomizu University, Tokyo, Japan 112-8610;Department of Computer Science, Lund University, Lund, Sweden 22100;Institute of Computer Science, University of Gdańsk, Gdańsk, Poland 80-952

  • Venue:
  • WADS '09 Proceedings of the 11th International Symposium on Algorithms and Data Structures
  • Year:
  • 2009

Quantified Score

Hi-index 0.00

Visualization

Abstract

The buy-at-bulk network design problem has been extensively studied in the general graph model. In this paper we consider the geometric version of the problem, where all points in a Euclidean space are candidates for network nodes. We present the first general approach for geometric versions of basic variants of the buy-at-bulk network design problem. It enables us to obtain quasi-polynomial-time approximation schemes for basic variants of the buy-at-bulk geometric network design problem with polynomial total demand. Then, for instances with few sinks and low capacity links, we design very fast polynomial-time low-constant approximations algorithms.