Fault-tolerant facility location: a randomized dependent LP-Rounding algorithm

  • Authors:
  • Jaroslaw Byrka;Aravind Srinivasan;Chaitanya Swamy

  • Affiliations:
  • Institute of Mathematics, Ecole Polytechnique Federale de Lausanne, Lausanne, Switzerland;Dept. of Computer Science and Institute for Advanced Computer Studies, University of Maryland, College Park, MD;Dept. of Combinatorics & Optimization, Faculty of Mathematics, University of Waterloo, Waterloo, ON, Canada

  • Venue:
  • IPCO'10 Proceedings of the 14th international conference on Integer Programming and Combinatorial Optimization
  • Year:
  • 2010

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Abstract

We give a new randomized LP-rounding 1.725-approximation algorithm for the metric Fault-Tolerant Uncapacitated Facility Location problem. This improves on the previously best known 2.076-approximation algorithm of Swamy & Shmoys. To the best of our knowledge, our work provides the first application of a dependent-rounding technique in the domain of facility location. The analysis of our algorithm benefits from, and extends, methods developed for Uncapacitated Facility Location; it also helps uncover new properties of the dependent-rounding approach. An important concept that we develop is a novel, hierarchical clustering scheme. Typically, LP-rounding approximation algorithms for facility location problems are based on partitioning facilities into disjoint clusters and opening at least one facility in each cluster. We extend this approach and construct a laminar family of clusters, which then guides the rounding procedure: this allows us to exploit properties of dependent rounding, and provides a quite tight analysis resulting in the improved approximation ratio.