Visible to the public SDN-based multi-controller optimization deployment strategy for satellite network

TitleSDN-based multi-controller optimization deployment strategy for satellite network
Publication TypeConference Paper
Year of Publication2020
AuthorsWei, D., Wei, N., Yang, L., Kong, Z.
Conference Name2020 IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS)
Date Publishedjul
Keywordsadjacent low load controller, composability, computer network security, delays, dynamic networks, Heuristic algorithms, high load state, high-load state, high-load switch, idle state, load difference, low-load controller, Metrics, multicontroller optimized deployment strategy, network delay, network performance, Network security, Network topology, network topology high dynamic changes, normal state, optimisation, optimize deployment, overload state, pubcrawl, resilience, Resiliency, satellite communication, satellite network, Satellites, SDN-based multicontroller optimization deployment strategy, SDN-based satellite network controllers, security, Software Defined Network, software defined networking, Switches, telecommunication control, telecommunication network topology, telecommunication traffic, Topology
AbstractDue to the network topology high dynamic changes, the number of ground users and the impact of uneven traffic, the load difference between SDN-based satellite network controllers varies widely, which will cause network performance such as network delay and throughput to drop dramatically. Aiming at the above problems, a multi-controller optimized deployment strategy of satellite network based on SDN was proposed. First, the controller's load state is divided into four types: overload state, high load state, normal state, and idle state; second, when a controller in the network is idle, the switch under its jurisdiction is migrated to the adjacent low load controller and turn off the controller to reduce waste of resources. When the controller is in a high-load state and an overload state, consider both the controller and the switch, and migrate the high-load switch to the adjacent low-load controller. Balance the load between controllers, improve network performance, and improve network performance and network security. Simulation results show that the method has an average throughput improvement of 2.7% and a delay reduction of 3.1% compared with MCDALB and SDCLB methods.
DOI10.1109/ICPICS50287.2020.9202260
Citation Keywei_sdn-based_2020