ABNO's OAM Handler is extended with big data analytics capabilities to anticipate traffic changes in volume and direction. Predicted traffic is used to trigger virtual network topology re-optimization. When the virtual topology needs to be reconfigured, predicted and current traffic matrices are used to find the optimal topology. A heuristic algorithm to adapt current virtual topology to meet both actual demands and expected traffic matrix is proposed. Experimental assessment is carried out on UPC's SYNERGY testbed. ; Peer Reviewed ; Postprint (published version)


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Virtual network topology adaptability based on data analytics for traffic prediction

    Morales Alcaide, Fernando / Ruiz Ramírez, Marc / Gifre Renom, Lluís et al. | BASE | 2017

    Freier Zugriff

    Energy-aware virtual topology reconfiguration under dynamic traffic

    Gencata, Aysegul / Cavdar, Cicek | BASE | 2012

    Freier Zugriff

    ``Follow the Sun, Follow the Wind'' Lightpath Virtual Topology Reconfiguration in IP Over WDM Network

    Shen, G. / Lui, Y. / Bose, S.K. | British Library Online Contents | 2014


    Monitoring and Data Analytics-triggered reconfiguration in partially disaggregated optical networks

    Gifre, Ll. / Boitier, F. / Delezoide, C. et al. | BASE | 2020

    Freier Zugriff

    Reconfiguration of virtual network mapping considering service disruption

    Tran, Phuong Nga / Timm-Giel, Andreas | BASE | 2013

    Freier Zugriff