Research On Deployment Strategy And Load Balance Of Controller In SDN Power Communication Network

With the rapid advancement of the power Internet of Things,it has promoted the information interaction between power grid users and the power grid.Faced with communication of massive devices,severe demanding of real-time,security and reliability,how to upgrade and implement power communication network has become an urgent issue.Because logically centralized controller and separation of control and forwarding,the emerging Software Defined Network(SDN)and Mobile Edge Computing(MEC)bring greater programmability,flexibility and dynamic resource management to the network,and reduce the response time as well as promote terminal’s resource access efficiency.Improve resource utilization and effective guarantee of the communication quality of the power communication network,which promote the intelligent development of the power grid.However,emerging technologies also have many problems.SDN has outstanding status synchronization problems,security problems,and network scalability problems in large-scale network scenarios,which severely restrict the development of SDN technology.The research mainly involves the scalability of SDN-MEC network in my paper.In the multi-controller architecture,the static distribution relationship between switches and controllers cannot adapt to the dynamic changes of the network,which will lead to unbalanced load distribution between the controllers and reduce network performance.In order to solve the load balancing and controller deployment problems in the SDN-MEC network,I construct the response time model and network cost model of the controller in this paper,and adopt a multi-objective optimization method to optimize response time and overhead to reduce controller load,then redistribute the connection relationship between the controller and the MEC server to improve network performance.Due to the controller load balancing problem is caused by the dynamic changes of the network,the response time and network cost model are established,and adopt a multi-objective optimization algorithm to optimize the connection relationship between the redistributed controller and the MEC server,then the compromise solution is selected based on the coordinate transformation strategy.I construct the power quantification model of the controller in the SDN network,then divide the network into several communities base on the modularity of the network community,and use the greedy strategy to optimize the power of the controller in the community,thereby solving the controller deployment problem in the network.Finally verify the feasibility and advantages of the algorithm on MATLAB software platform.Aiming at the problems of SDN network load balancing and controller deployment,the algorithm proposed in this thesis can solve the controller overload problem,serious response time,network overhead,and high controller power problem effectively,which caused by network dynamic changes.The main advantages include adapting to different types of networks,high execution efficiency of algorithm,and short time-consuming.