Adaptive Gateway Traffic Scheduling Algorithm Based on Multidimensional Information

In this paper, an adaptive gateway traffic scheduling algorithm based on multi-dimensional information is proposed to solve the load balancing problem in high concurrency scenarios. The algorithm considers the three dimensions of server performance, network status and traffic prediction, and dynamically adjusts the performance load weight, service access weight and traffic prediction weight to realize more intelligent traffic scheduling. By monitoring load pressure index, network pressure index and traffic prediction difference index in real time, the algorithm can flexibly deal with different network environments and traffic fluctuations. Experimental results show that compared with traditional load balancing algorithms, the proposed algorithm has a remarkable performance improvement in system throughput and response time. Finally, this paper looks forward to future research directions in introducing more dimensional information, optimizing traffic prediction models, extending to distributed environments, and improving real-time algorithms.