• DocumentCode
    3006784
  • Title

    A novel burst assembly algorithm based on control channel and traffic type for OBS

  • Author

    Hehe, Chen ; Zehua, Gao ; Fan, Ning ; Kwak, Kyungsup

  • Author_Institution
    Key Lab. of UWC, Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2009
  • fDate
    8-10 Oct. 2009
  • Firstpage
    507
  • Lastpage
    510
  • Abstract
    In this paper, a novel data burst assembly algorithm which based on control channel availability and traffic type is presented. In this mechanism, a burst is created only if its control packet can be transmitted and can be packed as different length according to traffic type to adapt the network requirement best dynamically. The variable Lstep which defined as the variation of the size threshold, can be chosen as the optimize value according to the traffic type and QoS requirement; by using the Lstep, this assembly algorithm exhibits a much better self-adaptive in the OBS networks compared to the traditional burst adaptive algorithms, such as DTP and AthBA. The simulation results show that this algorithm can adaptively change the data burst size according to the offered load, and can help to reduce the packets loss rate and the ETE (End To End) delay of the bursts, thus significantly improve the network performance.
  • Keywords
    optical burst switching; optical fibre networks; quality of service; telecommunication traffic; AthBA algorithm; DTP algorithm; OBS networks; QoS requirement; control channel availability; data burst assembly algorithm; optical burst switching; quality of service; traditional burst adaptive algorithm; traffic type; variable Lstep; Adaptive algorithm; Assembly; Business continuity; Communication system traffic control; Desktop publishing; Performance loss; Size control; Tellurium; Traffic control; BA (Burst Assembly); DTP (Data-length-Time-lag-Product); adaptive; burst loss rate; edge router;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications, 2009. APCC 2009. 15th Asia-Pacific Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-4784-8
  • Electronic_ISBN
    978-1-4244-4785-5
  • Type

    conf

  • DOI
    10.1109/APCC.2009.5375580
  • Filename
    5375580