• DocumentCode
    3075699
  • Title

    A Loss-Based Utility Function for Predicting IPTV Quality of Experience over an Overlay Network

  • Author

    Abdeljaouad, Imad ; Kandavanam, Gajaruban ; Karmouch, Ahmed

  • Author_Institution
    Sch. of Inf. Technol. & Eng. (SITE), Univ. of Ottawa, Ottawa, ON, Canada
  • fYear
    2011
  • fDate
    5-9 Dec. 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Internet Protocol Television (IPTV) over broadband networks offers more services and flexibility, such as time-shifted TV and video-on-demand (VoD), than the traditional broadcast TV. Unfortunately, IP offers best effort service and Quality of Service (QoS) is not guaranteed. In order to provide QoS guarantees over the Internet, overlay networks are used. Impairments happening at the network layer such as delays and packet losses significantly affect the quality of the IPTV stream. Hence, a reliable mechanism to monitor the Quality of Experience (QoE) of IPTV users is essential to an IPTV service provider in order to avoid customer churn. It is essential that an IPTV provider be able to monitor the QoE with minimal overhead. Therefore, we propose a utility based QoE monitoring approach based on statistical losses at the application layer. This paper also presents mathematical proofs and simulation results that confirm the suitability and effectiveness of our proposed method.
  • Keywords
    IPTV; broadband networks; overlay networks; quality of service; statistical analysis; television broadcasting; video on demand; IPTV quality of experience; IPTV service provider; IPTV stream quality; Internet protocol television; QoS; broadband network layer; broadcast TV; loss-based utility function; mathematical proofs; overlay network; packet loss; quality of service; statistical loss; utility based QoE monitoring approach; video-on-demand; Animation; IPTV; Loss measurement; Monitoring; Quality of service; Sensitivity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Global Telecommunications Conference (GLOBECOM 2011), 2011 IEEE
  • Conference_Location
    Houston, TX, USA
  • ISSN
    1930-529X
  • Print_ISBN
    978-1-4244-9266-4
  • Electronic_ISBN
    1930-529X
  • Type

    conf

  • DOI
    10.1109/GLOCOM.2011.6133919
  • Filename
    6133919