Research on load balancing techniques based on numerical analysis in distributed systems

Based on the demand of load balancing in distributed system scenarios, this paper introduces the concept of dynamic priority in the algorithm and designs the dynamic feedback load balancing (DFLB) algorithm for numerical analysis.Through the closed-loop process of collection-feedback-utilization-collection, the overall performance of the system is realized.The Mininet tool and the Floodlight controller are used when building the load balancing system experimental environment to verify the reliability of the algorithm from the response delay, throughput and other indicators.The study shows that the DFLB algorithm reduces the response time of the system by about 20% compared with the static deployment method, and the DFLB algorithm reduces the load variance, saves computational resources, and makes the load of the system more balanced and efficient.The average throughput of the DFLB algorithm is improved by about 10% compared with the PALB algorithm and DALB algorithm, and 6% compared with the PALB algorithm and DALB algorithm, respectively.Starting from 1000 concurrent connections, the DFLB algorithm has a higher access rate.Thus, the algorithm leads to an improvement in the overall performance of the system.