Abstract
In the software-defined aeronautical information network architecture, a multi-controller deployment scheme was proposed for the control plane scalability problem, which includes two phases: cluster domain partitioning and intra-domain deployment controller. An improved k-means algorithm was proposed in the cluster domain segmentation phase, which can effectively avoid discrete points from becoming cluster center. When the controller was deployed in the cluster domain, the minimum failure rate of the control path in the network was targeted, and an improved discrete particle swarm optimization algorithm was used to solve the problem to obtain effective control of the network. The simulation results show that the algorithm can effectively reduce the failure rate of the control path based on the reasonable division of the cluster domain. For example, when the number of controllers was increased from 3 to 15, the total failure rate was correspondingly reduced from 0.242 to 0.092, and good results are obtained. This solution provides a new way to solve the problem of multi-controller deployment under dynamic and large-scale networks.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
