High quality VoD service architecture on broadband Internet

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

In this paper, for broadband Internet users, high quality VOD (Video on Demand) service architecture including network and platform is presented. As the existing IP-network cannot provide a guaranteed bandwidth, a local server based network architecture is suggested and implemented. Local nodes are established to consider network traffic related to the number of users and geographical locality. Users are routed to the local node that can provide a guaranteed bandwidth. Also VoD service platform is designed to control traffic load balancing, which can distribute traffic load to local servers. The designed load balancing scheme is works well in actual environment. On the service architecture, commercial VoD(Video-on-Demand) service is now open to KT broadband Internet users (http://homemedia.megapass.net).

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsVipin Kumar, Vipin Kumar, Marina L. Gavrilova, Chih Jeng Kenneth Tan, Chih Jeng Kenneth Tan, Pierre L’Ecuyer
PublisherSpringer Verlag
Pages419-426
Number of pages8
ISBN (Print)354040161X
DOIs
Publication statusPublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2668
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Lee, S. (2003). High quality VoD service architecture on broadband Internet. In V. Kumar, V. Kumar, M. L. Gavrilova, C. J. K. Tan, C. J. K. Tan, & P. L’Ecuyer (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 419-426). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2668). Springer Verlag. https://doi.org/10.1007/3-540-44843-8_45