Reducing Delivery Delay in HRM Tree (original) (raw)
Abstract
In hierarchical reliable multicast schemes, the number of repair proxies and their locations influence the delivery delay. Low delivery delay is essential for the transmission of real time media. In this paper, we propose a method to decide optimal locations of repair proxies that minimizes the mean delivery delay of all receivers in heterogeneous network using a dynamic programming approach. The evaluation results of our optimal proposal in a simulation topology show that the mean delivery delay of all receivers can be reduced by about 10ms in network size of 1000 nodes. Our method can be used by network providers in order to reduce delivery delay in their HRM network.
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Authors and Affiliations
- Department of Computer Science and Engineering, Korea University, An-am dong, Seong-buk gu, Seoul, Korea
Sang-Seon Byun & Chuck Yoo
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- Sang-Seon Byun
- Chuck Yoo
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Editors and Affiliations
- Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada
Marina L. Gavrilova - Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy
Osvaldo Gervasi - William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA
Vipin Kumar - OptimaNumerics Ltd., Cathedral House, 23-31 Waring Street, BT1 2DX, Belfast, UK
C. J. Kenneth Tan - Clayton School of IT, Monash University, 3800, Clayton, Australia
David Taniar - Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy
Antonio Laganá - School of Computing, Soongsil University, Seoul, Korea
Youngsong Mun - School of Information and Communication Engineering, Sungkyunkwan University, Korea
Hyunseung Choo
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Byun, SS., Yoo, C. (2006). Reducing Delivery Delay in HRM Tree. In: Gavrilova, M.L., et al. Computational Science and Its Applications - ICCSA 2006. ICCSA 2006. Lecture Notes in Computer Science, vol 3981. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11751588\_126
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- DOI: https://doi.org/10.1007/11751588\_126
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