Abstract In order to make full use of advantages of SDN nodes to optimize network performance, traffic engineering of hybrid SDN becomes a current research focus, and routing optimization is one of the key strategies to realize the goal of traffic engineering. However, current traffic engineering of hybrid SDN fails to take overall load balancing of the network and processing capacity of SDN nodes into consideration. To solve the above problem, a multi-objective routing optimization algorithm, i.e. MCS, is proposed to optimize link utilization and transmission delay of SONet under the actual restriction of SDN-FE. Experiments show that in light network load, MCS is similar to SOTE in performance, but the former could reduce 9% of network compared with the latter in heavy load. Therefore, MCS is able to provide better optimization.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    The Multi-Objective Routing Optimization Algorithm for Hybrid SDN


    Beteiligte:
    Gu, Suolin (Autor:in) / Luo, Lijuan (Autor:in) / Zhao, Zhekun (Autor:in) / Li, Xiaofang (Autor:in)


    Erscheinungsdatum :

    27.07.2017


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    The Multi-Objective Routing Optimization Algorithm for Hybrid SDN

    Gu, Suolin / Luo, Lijuan / Zhao, Zhekun et al. | British Library Conference Proceedings | 2018


    Optimization of Vehicle Routing Problem Based on Multi-Objective Genetic Algorithm

    Zhong, R. / Wu, J.P. / Du, Y.M. | British Library Conference Proceedings | 2013




    Hybrid Multi-Gradient Explorer Algorithm for Global Multi-Objective Optimization

    Sevastyanov, V. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2010