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International Computing and Combinatorics Conference

COCOON 2005: Computing and Combinatorics pp 136–145Cite as

Improved Approximation Algorithms for the Capacitated Multicast Routing Problem

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 3595)

Abstract

Two models for the Capacitated Multicast Routing Problem are considered, which are the Multicast k-Path Routing and the Multicast k-Tree Routing. Under these models, two improved approximation algorithms are presented, which have worst case performance ratios of 3 and (2 + ρ), respectively. Here ρ denotes the best approximation ratio for the Steiner Minimum Tree problem, and it is about 1.55 at the writing of the paper. The two approximation algorithms improve upon the previous best ones having performance ratios of 4 and (2.4 + ρ), respectively. The designing techniques developed in the paper could be applicable to other similar networking problems.

Keywords

  • Capacitated Multicast Routing
  • Approximation Algorithm
  • Steiner Minimum Tree
  • Tree Partitioning

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  • DOI: 10.1007/11533719_16
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Author information

Authors and Affiliations

  1. Department of Computing Science, University of Alberta, Edmonton, Alberta, T6G 2E8, Canada

    Zhipeng Cai & Guohui Lin

  2. Department of Computer Science and Engineering, Arizona State University, Tempe, Arizona, 85287-5406, USA

    Guoliang Xue

Authors
  1. Zhipeng Cai
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  2. Guohui Lin
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  3. Guoliang Xue
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Editor information

Editors and Affiliations

  1. Department of Computer Science, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong

    Lusheng Wang

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© 2005 Springer-Verlag Berlin Heidelberg

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Cai, Z., Lin, G., Xue, G. (2005). Improved Approximation Algorithms for the Capacitated Multicast Routing Problem. In: Wang, L. (eds) Computing and Combinatorics. COCOON 2005. Lecture Notes in Computer Science, vol 3595. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11533719_16

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  • DOI: https://doi.org/10.1007/11533719_16

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-28061-3

  • Online ISBN: 978-3-540-31806-4

  • eBook Packages: Computer ScienceComputer Science (R0)