• DocumentCode
    649836
  • Title

    Fuzzy logic overload control in Asterisk proxy

  • Author

    Montazerolghaem, AhamdReza ; Yaghmaee Moghaddam, Mohammad Hossein

  • Author_Institution
    Dept. of Comput. Eng., Ferdowsi Univ. of Mashhad, Mashhad, Iran
  • fYear
    2013
  • fDate
    27-29 Aug. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The extent and diversity of systems provided by IP networks have lead various technologies to approach integrating various types of access networks and converting to next generation network. On account of features as being in text form, end-to-end connection, independence from the type of transmitted data, and supporting various forms of transmission, is an appropriate choice for signaling protocol in order to make connection between two IP network users. These advantages have made SIP be considered as a signaling protocol in IMS, a proposed signaling platform for next generation networks. Despite having all these advantages, SIP protocol is in lacking of appropriate mechanism for addressing overload. In this paper we try to improve a window-based overload control in RFC 6537. In window-based overload control method, a window is used to limit the number of messages that are sent to an overloaded SIP proxy, simultaneously. In this paper we first use fuzzy logic to regulate the accurate size of window and then we develop, implement, and evaluate it on an Asterisk open-source proxy. Simulation results show that this method could maintain throughput under overload conditions practically, change the maximum window size dynamically.
  • Keywords
    IP networks; fuzzy control; next generation networks; signalling protocols; telecommunication control; Asterisk open-source proxy; IMS; IP networks; RFC 6537; SIP protocol; access networks; fuzzy logic overload control; next generation network; overloaded SIP proxy; signaling protocol; window-based overload control; window-based overload control method; Asterisk; Overload control; SIP (Session Initiation Protocol);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (IFSC), 2013 13th Iranian Conference on
  • Conference_Location
    Qazvin
  • Print_ISBN
    978-1-4799-1227-8
  • Type

    conf

  • DOI
    10.1109/IFSC.2013.6675636
  • Filename
    6675636