A new approximation algorithm for the selective single-sink buy-at-bulk problem in network design

  • Authors:
  • Peng Zhang

  • Affiliations:
  • School of Computer Science and Technology, Shandong University, Jinan, China

  • Venue:
  • COCOA'11 Proceedings of the 5th international conference on Combinatorial optimization and applications
  • Year:
  • 2011

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Abstract

The Selective Single-Sink Buy-at-Bulk problem was proposed by Awerbuch and Azar (FOCS 1997). For a long time, the only known non-trivial approach to approximate this problem is the treeem-bedding method initiated by Bartal (FOCS 1996). In this paper, we give a thoroughly different approximation approach for the problem with approximation ratio O(√q), where q is the number of source terminals in the problem instance. Our approach is based on a mixed strategy of LP-rounding and the greedy method. When the number q (which is always at most n) is relatively small (say, q = o(log2 n)), our approximation ratio O(√q) is better than the currently known best ratio O(log n), where n is the number of vertices in the input graph.