Size-constrained Tree Partitioning: Approximating the Multicast k-tree Routing Problem
Full Text: 1-s2.0-S0304397509003922-main.pdf
In the multicast -tree routing problem, a data copy is sent from the source node to at most destination nodes in every transmission. The goal is to minimize the total cost of sending data to all destination nodes, which is measured as the sum of the costs of all routing trees. This problem was formulated out of optical networking and has applications in general multicasting. Several approximation algorithms, with increasing performance, have been proposed in the last several years; the most recent ones rely heavily on a tree partitioning technique. In this paper, we present a further improved approximation algorithm along the line. The algorithm has a worst-case performance ratio of , where denotes the best approximation ratio for the Steiner minimum tree problem. The proofs of the technical routing lemmas also provide some insights into why such a performance ratio could be the best possible that one can get using this tree partitioning technique.
Citation
Z. Cai, R. Goebel, G. Lin. "Size-constrained Tree Partitioning: Approximating the Multicast k-tree Routing Problem". Theoretical Computer Science, 412(3), pp 240-245, January 2011.| Keywords: | Capacitated multicast tree routing, Approximation algorithm, Tree partitioning |
| Category: | In Journal |
| Web Links: | DOI |
| Elsevier |
BibTeX
@article{Cai+al:11,
author = {Zhipeng Cai and Randy Goebel and Guohui Lin},
title = {Size-constrained Tree Partitioning: Approximating the Multicast
k-tree Routing Problem},
Volume = "412",
Number = "3",
Pages = {240-245},
journal = {Theoretical Computer Science},
year = 2011,
}Last Updated: February 13, 2020Submitted by Sabina P
