Design and Implementation of Intelligent Algorithm Optimization Network Access Control Strategy in SDN Architecture
Jianbo Luo · Procedia Computer Science · 2024
With the rapid progress of network technology, intelligence and virtualization have become the trend. People pay more and more attention to artificial intelligence, and the user behavior information analysis and reasoning function based on IPC and machine learning algorithm is widely used in computer applications. Traditional SDN algorithms may encounter performance bottlenecks when dealing with large-scale networks, resulting in the inability to continue to expand the network scale. This limits applications in complex network environments such as large enterprises or cloud data centers. Based on SDN architecture, this paper proposes a new intelligent optimized web crawler system, which covers user access control strategy. The research focuses on improving the IP address mapping capability, and verifies the characteristics of different node-level permissions with examples. The experimental results show that the resource utilization of the traditional algorithm is 75%, 80%, 70%, 85% and 78%, while the resource utilization of the SDN routing algorithm is above 79%, which is less than 10% higher than the traditional one. It can be seen that the intelligent algorithm shows a higher utilization of the five resources