Exploiting traffic balancing and multicast efficiency in distributed video-on-demand architectures

Fernando Cores, Ana Ripoll, Bahjat Qazzaz, Remo Suppi, Xiaoyuan Yang, Porfidio Hernández, Emilio Luque

    Research output: Contribution to journalArticleResearchpeer-review

    Abstract

    Distributed Video-on-Demand (DVoD) systems are proposed as a solution to the limited streaming capacity and null scalability of centralized systems. In a previous work, we proposed a fully distributed large-scale VoD architecture, called Double P-Tree, which has shown itself to be a good approach to the design of flexible and scalable DVoD systems. In this paper, we present relevant design aspects related to video mapping and traffic balancing in order to improve Double P-Tree architecture performance. Our simulation results demonstrate that these techniques yield a more efficient system and considerably increase its streaming capacity. The results also show the crucial importance of topology connectivity in improving multicasting performance in DVoD systems. Finally, a comparison among several DVoD architectures was performed using simulation, and the results show that the Double P-Tree architecture incorporating mapping and load balancing policies outperforms similar DVoD architectures. © Springer-Verlag 2003.
    Original languageEnglish
    Pages (from-to)859-869
    JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume2790
    Publication statusPublished - 1 Dec 2004

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