• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

The Algorithm of Efficient Core Selection Estimation for the Multicast Delay Variation Problem and Minimum Delay Variation


Youn-Gjin Ahn, Moon-Seong Kim, Hyun-Seung Choo, Journal of Internet Computing and Services, Vol. 8, No. 2, pp. 33-42, Apr. 2007
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Keywords: Delay- and delay Variation-Bounded Multicast Tree Problem, delay variation, DDVCA(Delay and Delay Variation Constraint Algorithm

Abstract

With the development of the multicast technology, the realtime strategy among the group applications using the multicast routing is getting more important. An essential factor of these real-time application is to optimize the Delay- and delay Variation-Bounded Multicast Tree(DVBMT) problem. This problem is to satisfy the minimum delay variation and the end-to-end delay within an upper bound. The DVBMT problem is known as NP-complete problem. The representative algorithms for the problem are DVMA, DDVCA, and so on. In this paper, we show that the proposed algorithm outperforms any other algorithm. The efficiency of our algorithm is verified through the prerformance evaluation and the enhancement is up to about 9% to 29% in terms of the multicast delay variation. The time complexity of our algorithm is $O(mn^2)$M.


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Cite this article
[APA Style]
Youn-Gjin Ahn, Moon-Seong Kim, & Hyun-Seung Choo (2007). The Algorithm of Efficient Core Selection Estimation for the Multicast Delay Variation Problem and Minimum Delay Variation. Journal of Internet Computing and Services, 8(2), 33-42.

[IEEE Style]
Y. Ahn, M. Kim and H. Choo, "The Algorithm of Efficient Core Selection Estimation for the Multicast Delay Variation Problem and Minimum Delay Variation," Journal of Internet Computing and Services, vol. 8, no. 2, pp. 33-42, 2007.

[ACM Style]
Youn-Gjin Ahn, Moon-Seong Kim, and Hyun-Seung Choo. 2007. The Algorithm of Efficient Core Selection Estimation for the Multicast Delay Variation Problem and Minimum Delay Variation. Journal of Internet Computing and Services, 8, 2, (2007), 33-42.