Since a single controller cannot meet the requirements of SDN deployment in WAN, a multi-controller placement scheme is proposed for this problem. Under the condition of given network topology and number of controllers, firstly, the controller’s and switch’s own performance constraints are considered in this paper, and then the bidirectional matching on controllers and switches are executed. Secondly, the network overhead as a target function is minimized in the paper. Finally, in order to complete the placement of the controller, the paper uses the particle optimization algorithm to optimize the elements in the matching list. The simulation results show that the scheme can obtain a small total controller overhead and optimize the total cost of the switch.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Multi-controller Placement Scheme Based on Network Overhead Optimization in Software Defined Network


    Contributors:


    Publication date :

    2019-10-01


    Size :

    136444 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    A Flow Table Optimization Scheme for Software Defined Network

    Tang, Yazhe / Zhang, Yongqi / Yan, Zijian et al. | British Library Online Contents | 2018


    Multi-controller Placement in Software Defined Satellite Networks: A Meta-heuristic Approach

    Jiang, Wei wei / Han, Haoyu / Zhang, Yang et al. | IEEE | 2024


    ANALISA PERFORMANSI CONTROLLER PADA ARSITEKTUR JARINGAN SOFTWARE DEFINED NETWORK (SDN)

    Rahmawan, Agung Dwi / Syaifuddin, Syaifuddin / Risqiwati, Diah | BASE | 2020

    Free access

    A LOW-OVERHEAD ONLINE ROUTING SCHEME FOR ULTRA-DENSE SOFTWARE-DEFINED CUBESAT NETWORKS

    AKYILDIZ IAN / KAK AHAN | European Patent Office | 2022

    Free access

    Multi-Radio Access Software-Defined Vehicular Network

    Altahrawi, Mohammed A. / Abdullah, Nor Fadzilah / Nordin, Rosdiadee et al. | IEEE | 2022