• DocumentCode
    2802410
  • Title

    QoS monitoring and failure detection

  • Author

    Breda, Gean D. ; Mendes, L.de S.

  • fYear
    2006
  • fDate
    3-6 Sept. 2006
  • Firstpage
    243
  • Lastpage
    248
  • Abstract
    This paper deals with two algorithms for monitoring the QoS and based on it to detect failures in voice communication systems. These algorithms are based on the analysis of data stored in Call Detail Records (CDR). For each call one CDR or ticket is generated. These tickets contain data related to the call describing the system elements involved, such as time and duration of the call, phone types and numbers, SS7 signaling, trunks, time slots, what happen to the call, etc. The tickets are generated in PSTN switches or over VoIP gateways, for the case of Internet Protocol Detail Record (IPDRs). These tickets can be used to monitor the QoS and to detect faults focusing in different aspects related to the call, such as technical, economic, or social. Our main goal is to analyze and classify these algorithms according to their performance and use.
  • Keywords
    Internet telephony; computer network management; computer network reliability; invoicing; monitoring; quality of service; signalling protocols; voice communication; CDR generation; Internet Protocol Detail Record; PSTN switches; QoS monitoring algorithms; SS7 signaling; VoIP gateways; call detail records; failure detection; ticket generation; voice communication systems; Algorithm design and analysis; Condition monitoring; Data mining; Failure analysis; Fault detection; Performance analysis; Protocols; Quality of service; Switches; Telephony; Call detail records; Failure detection; Management System; QoS monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunications Symposium, 2006 International
  • Conference_Location
    Fortaleza, Ceara
  • Print_ISBN
    978-85-89748-04-9
  • Electronic_ISBN
    978-85-89748-04-9
  • Type

    conf

  • DOI
    10.1109/ITS.2006.4433277
  • Filename
    4433277