Approximating capacitated tree-routings in networks

  • Authors:
  • Ehab Morsy;Hiroshi Nagamochi

  • Affiliations:
  • Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University, Kyoto, Japan 606-8501 and Department of Mathematics, Faculty of Science, Suez Canal University, Ism ...;Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University, Kyoto, Japan 606-8501

  • Venue:
  • Journal of Combinatorial Optimization
  • Year:
  • 2011

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Abstract

Let G=(V,E) be a connected graph such that each edge e驴E is weighted by a nonnegative real w(e). Let s be a vertex designated as a sink, M驴V be a set of terminals with a demand function q:M驴R +, 驴0 be a routing capacity, and 驴驴1 be an integer edge capacity. The capacitated tree-routing problem (CTR) asks to find a partition 驴={Z 1,Z 2,驴,Z 驴 } of M and a set ${\mathcal{T}}=\{T_{1},T_{2},\ldots,T_{\ell}\}$ of trees of G such that each T i contains Z i 驴{s} and satisfies $\sum_{v\in Z_{i}}q(v)\leq \kappa$ . A single copy of an edge e驴E can be shared by at most 驴 trees in ${\mathcal{T}}$ ; any integer number of copies of e are allowed to be installed, where the cost of installing a copy of e is w(e). The objective is to find a solution $({\mathcal{M}},{\mathcal{T}})$ that minimizes the total installing cost. In this paper, we propose a (2+驴 ST )-approximation algorithm to CTR, where 驴 ST is any approximation ratio achievable for the Steiner tree problem.