• DocumentCode
    1767742
  • Title

    An active queue management adaptation framework for software defined optical network

  • Author

    Zhaozhi Ge ; Rentao Gu ; Yuefeng Ji

  • Author_Institution
    Beijing Key Lab. of Network Syst. Archit. & Convergence, Beijing Univ. of Posts & Telecommun., Beijing, China
  • fYear
    2014
  • fDate
    9-10 Nov. 2014
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Software Defined Optical Network (SDON) is gaining more and more adaptability, as flexible optical transceivers make it possible to control the switching characteristics in the physical layer. Towards upper layer, openness is also being considered, an open framework to dynamically adapt Transmission Control Protocol (TCP) has already been proposed. However, openness in queue management, which plays a key role in Optical Packet Switching and has direct impact on link congestion and latency, is seldom studied. This paper addresses the need for adaptively control Active Queue Management (AQM) in SDON and proposes an AQM adaptation framework called OpenAQM. We describe the framework and give proof of concept by NS2 simulation. The results show that major improvement in queuing delay and decreasing jitter is achieved under OpenAQM.
  • Keywords
    adaptive control; jitter; optical fibre networks; optical transceivers; packet switching; queueing theory; software defined networking; telecommunication congestion control; telecommunication network management; transport protocols; AQM adaptation framework; NS2 simulation; SDON; TCP; active queue management adaptation framework; flexible optical transceivers; link congestion; optical packet switching; software defined optical network; transmission control protocol; Adaptation models; Delays; Jitter; Optical fiber networks; Optical packet switching; Switches; Tuning; AQM; SDON; adaptation framework;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optical Communications and Networks (ICOCN), 2014 13th International Conference on
  • Conference_Location
    Suzhou
  • Type

    conf

  • DOI
    10.1109/ICOCN.2014.6987113
  • Filename
    6987113