• DocumentCode
    2842037
  • Title

    Novel distributed call admission control solution based on machine learning approach

  • Author

    Bashar, Abul ; Parr, Gerard ; Mcclean, Sally ; Scotney, Bryan ; Nauck, Detlef

  • Author_Institution
    Sch. of Comput. & Info. Eng., Univ. of Ulster, Coleraine, UK
  • fYear
    2011
  • fDate
    23-27 May 2011
  • Firstpage
    871
  • Lastpage
    881
  • Abstract
    The advent of IP-based Next Generation Network (NGN) and its guaranteed QoS promise has attracted significant attention from both service providers and subscribers. However, to fulfil the said promise, there is a need to provide effective Call Admission Control (CAC) based QoS provisioning solutions which are autonomous, intelligent and scalable.
  • Keywords
    IP networks; distributed control; learning (artificial intelligence); next generation networks; quality of service; telecommunication congestion control; IP-based next generation network; QoS; call admission control; distributed call admission control; machine learning approach; Bayesian methods; Call admission control; Delay; Machine learning; Next generation networking; Predictive models; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Integrated Network Management (IM), 2011 IFIP/IEEE International Symposium on
  • Conference_Location
    Dublin
  • Print_ISBN
    978-1-4244-9219-0
  • Electronic_ISBN
    978-1-4244-9220-6
  • Type

    conf

  • DOI
    10.1109/INM.2011.5990495
  • Filename
    5990495
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2842037