• DocumentCode
    2333998
  • Title

    Achieving high robustness and performance in performing QoS-aware route planning for IPTV networks

  • Author

    Kandavanam, Gajaruban ; Botvich, Dmitri ; Balasubramaniam, Sasitharan ; Suganthan, Ponnuthurai Nagaratnam

  • Author_Institution
    Telecommun. Software & Syst. Group, Waterford Inst. of Technol., Waterford, Ireland
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    QoS-aware network planning becomes increasingly important for network operators and ISP alike as the number and heterogeneity of applications supported by networks continue to increase. We have proposed an architecture and methodology to support QoS-aware route planning for IPTV networks. The route planning problem was formulated as a residual bandwidth optimization problem and solved using GA-VNS hybrid algorithm. The QoS guarantee is provided by performing route allocation for a QoS-aware demand matrix which is generated using efficient and accurate estimation of QoS requirements using empirical effective bandwidth estimations. This paper revisits our formerly proposed approach to perform residual bandwidth optimization with QoS guarantee in IPTV networks and proposes alterations and parameter settings to best suit the problem in terms of robustness and performance. This paper proposes the use of two cost functions to meet the above requirements and the use of a variation of the original VNS algorithm besides recommending the use of specific operators and general parameter settings. The proposals and recommendations are substantiated by the results of performance evaluations and analysis. The results indicate dramatic improvement when the proposed approaches are taken on board.
  • Keywords
    IPTV; optimisation; quality of service; IPTV networks; QoS aware network planning; QoS aware route planning; bandwidth optimization problem; Bandwidth; Biological cells; Delay; Optimization; Planning; Quality of service; Routing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Evolutionary Computation (CEC), 2010 IEEE Congress on
  • Conference_Location
    Barcelona
  • Print_ISBN
    978-1-4244-6909-3
  • Type

    conf

  • DOI
    10.1109/CEC.2010.5586513
  • Filename
    5586513