Reducing delivery delay in HRM tree

Sang Seon Byun, Chuck Yoo

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

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.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2006
Subtitle of host publicationInternational Conference, Proceedings - Part II
PublisherSpringer Verlag
Pages1189-1198
Number of pages10
ISBN (Print)3540340726, 9783540340720
DOIs
Publication statusPublished - 2006
EventICCSA 2006: International Conference on Computational Science and Its Applications - Glasgow, United Kingdom
Duration: 2006 May 82006 May 11

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3981 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherICCSA 2006: International Conference on Computational Science and Its Applications
CountryUnited Kingdom
CityGlasgow
Period06/5/806/5/11

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Byun, S. S., & Yoo, C. (2006). Reducing delivery delay in HRM tree. In Computational Science and Its Applications - ICCSA 2006: International Conference, Proceedings - Part II (pp. 1189-1198). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3981 LNCS). Springer Verlag. https://doi.org/10.1007/11751588_126