Controller load balancing method based on hierarchical load sensing and adaptive genetics
By adopting hierarchical load awareness and adaptive genetic algorithm methods in large-scale computer networks, the problem of dynamic load balancing of controllers is solved, real-time perception and precise adjustment of network state load is realized, and the performance of load balancing and network resource utilization are improved.
Patent Information
- Application Number
- CN202411844566.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-16
- Publication Date
- 2025-03-18
- Estimated Expiration
- 2044-12-16
AI Technical Summary
In large-scale computer networks, due to traffic uncertainty and dynamic changes in network topology, controllers may be overloaded or idle, and it is difficult for the prior art to effectively balance controller load.
The controller load balancing method based on hierarchical load perception and adaptive genetic algorithm is adopted. By building an SDN network model, the network topology and controller load changes are monitored in real time, and the adaptive genetic algorithm is used to optimize the mapping relationship between the switch and the controller to achieve dynamic load balancing.
It improves the performance of controller load balancing and the utilization rate of network resources, realizes real-time perception and precise adjustment of network state load, and improves the accuracy and real-timeness of load balancing.