Disturbance-observer-based active queue management with time delay using software-defined networking controller

Hosho Chibana, Manabu Yoshino, Masashi Tadokoro, Daisuke Murayama, Ken Ichi Suzuki, Ryogo Kubo

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    3 Citations (Scopus)

    Abstract

    This paper presents an active queue management (AQM) architecture using a software-defined networking (SDN) controller. The SDN controller can achieve the AQM of a router from a remote location. It leads to realizing cooperative AQM of multiple routers and flexible AQM taking traffic conditions of the total network system into account. However, the AQM control system includes additional time-delay elements between the SDN controller and routers, and they have not been discussed. In this research, we discuss the effects of the time-delay elements on the AQM performance. Simulations are performed to compare the queue length variations in a bottleneck router, when we adopt a disturbance-observer (DOB)-based proportional-derivative (PD) controller or a proportional-integral-derivative (PID) controller as an AQM controller. The simulation results show that the DOB-based PD controller tracks the target queue length more accurately than the PID controller even if the additional time-delay elements exist.

    Original languageEnglish
    Title of host publicationIECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society
    PublisherInstitute of Electrical and Electronics Engineers Inc.
    Pages1049-1054
    Number of pages6
    ISBN (Electronic)9781479917624
    DOIs
    Publication statusPublished - 2016 Jan 25
    Event41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015 - Yokohama, Japan
    Duration: 2015 Nov 92015 Nov 12

    Other

    Other41st Annual Conference of the IEEE Industrial Electronics Society, IECON 2015
    Country/TerritoryJapan
    CityYokohama
    Period15/11/915/11/12

    ASJC Scopus subject areas

    • Electrical and Electronic Engineering
    • Industrial and Manufacturing Engineering

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