Efficiency of Personalized Content Distribution

Sietse van der Gaast, D. Bijwaard

    Research output: Contribution to journalArticleAcademicpeer-review

    2 Citations (Scopus)

    Abstract

    Services like telecommunication, messaging, radio/television broadcast, and Web browsing are increasingly using the same Internet Protocol (IP)-based transport technology. Converged IP next-generation networks (NGNs) will enable easier blending and personalization of those services. For popular content, technologies like caching, broadcasting, and multicasting aim to increase network efficiency but also introduce extra complexity and bandwidth overhead. Additionally, the sheer amount of available content and the increasing flexibility for the end user to request content at any time from any place make it increasingly difficult to determine content popularity in order to predict the efficiency of using content distribution techniques. This paper describes a model for wireless networks to use network characteristics and a prediction of the popularity distribution to calculate the optimal combination of unicast and broadcast techniques when offering a number of media channels to the end user. Furthermore, an approach is described to optimize personalized content distribution efficiency in converged IP NGN networks utilizing efficiency calculations with this model. © 2008 Alcatel-Lucent.
    Original languageUndefined
    Pages (from-to)135-145
    Number of pages11
    JournalBell labs technical journal
    Volume13
    Issue number2
    DOIs
    Publication statusPublished - 2008

    Keywords

    • IR-75109
    • EWI-18699

    Cite this

    van der Gaast, Sietse ; Bijwaard, D. / Efficiency of Personalized Content Distribution. In: Bell labs technical journal. 2008 ; Vol. 13, No. 2. pp. 135-145.
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    title = "Efficiency of Personalized Content Distribution",
    abstract = "Services like telecommunication, messaging, radio/television broadcast, and Web browsing are increasingly using the same Internet Protocol (IP)-based transport technology. Converged IP next-generation networks (NGNs) will enable easier blending and personalization of those services. For popular content, technologies like caching, broadcasting, and multicasting aim to increase network efficiency but also introduce extra complexity and bandwidth overhead. Additionally, the sheer amount of available content and the increasing flexibility for the end user to request content at any time from any place make it increasingly difficult to determine content popularity in order to predict the efficiency of using content distribution techniques. This paper describes a model for wireless networks to use network characteristics and a prediction of the popularity distribution to calculate the optimal combination of unicast and broadcast techniques when offering a number of media channels to the end user. Furthermore, an approach is described to optimize personalized content distribution efficiency in converged IP NGN networks utilizing efficiency calculations with this model. {\circledC} 2008 Alcatel-Lucent.",
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    van der Gaast, S & Bijwaard, D 2008, 'Efficiency of Personalized Content Distribution', Bell labs technical journal, vol. 13, no. 2, pp. 135-145. https://doi.org/10.1002/bltj.20309

    Efficiency of Personalized Content Distribution. / van der Gaast, Sietse; Bijwaard, D.

    In: Bell labs technical journal, Vol. 13, No. 2, 2008, p. 135-145.

    Research output: Contribution to journalArticleAcademicpeer-review

    TY - JOUR

    T1 - Efficiency of Personalized Content Distribution

    AU - van der Gaast, Sietse

    AU - Bijwaard, D.

    PY - 2008

    Y1 - 2008

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    AB - Services like telecommunication, messaging, radio/television broadcast, and Web browsing are increasingly using the same Internet Protocol (IP)-based transport technology. Converged IP next-generation networks (NGNs) will enable easier blending and personalization of those services. For popular content, technologies like caching, broadcasting, and multicasting aim to increase network efficiency but also introduce extra complexity and bandwidth overhead. Additionally, the sheer amount of available content and the increasing flexibility for the end user to request content at any time from any place make it increasingly difficult to determine content popularity in order to predict the efficiency of using content distribution techniques. This paper describes a model for wireless networks to use network characteristics and a prediction of the popularity distribution to calculate the optimal combination of unicast and broadcast techniques when offering a number of media channels to the end user. Furthermore, an approach is described to optimize personalized content distribution efficiency in converged IP NGN networks utilizing efficiency calculations with this model. © 2008 Alcatel-Lucent.

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