• DocumentCode
    2890696
  • Title

    Intelligent Service Monitoring and Support

  • Author

    Al-Fuqaha, Ala ; Rayes, Ammar ; Guizani, Mohsen ; Khanvilkar, Mrinal ; Ahmed, Mohammed

  • Author_Institution
    Dept. of Comput. Sci., Western Michigan Univ., Kalamazoo, MI, USA
  • fYear
    2009
  • fDate
    14-18 June 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Intelligent service management techniques play an important role in the continuously and rapidly evolving area of technologically advanced services. High tech companies are looking for better ways to deliver and preserve services to their customers in a competitive way. This paper introduces a new architecture for a scalable service monitoring and support system called Call Home Analysis and Response System (CHARS). The proposed system utilizes data de-noising and filtering techniques to meet the service management requirements of large-scale service deployments. The system utilizes intra and inter-element correlation of events to enhance the services delivered to end- users. Our results demonstrate that the proposed system is effective in covering the performance and fault management aspects for large-scale deployments of advanced services.
  • Keywords
    computer network management; expert systems; information filtering; call home analysis; data denoising; data filtering; intelligent service management; intelligent service monitoring; response system; scalable service monitoring; Communications Society; Filtering; Intelligent networks; Intelligent systems; Large-scale systems; Monitoring; Noise reduction; Performance analysis; Technology management; Telecommunication network management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. ICC '09. IEEE International Conference on
  • Conference_Location
    Dresden
  • ISSN
    1938-1883
  • Print_ISBN
    978-1-4244-3435-0
  • Electronic_ISBN
    1938-1883
  • Type

    conf

  • DOI
    10.1109/ICC.2009.5199087
  • Filename
    5199087