ADE Based Dynamic Weight Load Balancing for High Concurrent Access Electricity Market Technical Support System

With the deregulation of the electricity market, the scale of market transactions and the number of access market members will grow explosively in China. In order to optimize the load of the entire server cluster in high concurrent access electricity market technical support system, a dynamic weight load balancing algorithm is proposed based on adaptive differential evolution (ADE) algorithm. The proposed algorithm considers the load balancing of data links as well as the service capability balancing of the server cluster. Firstly architecture of two-level electricity market technical support system is discussed. Then the principle of the ADE algorithm is discussed, and the improved dynamic load balancing is proposed with the ADE Algorithm, in which the server performance and link load balance parameters are dynamically evaluated and optimized. Finally, simulation and experimental are carried out with Nginx. The results show that the proposed dynamic weight load balancing algorithm has good performance of high concurrency, which can improve the system's maximum throughput and reduce response time of the entire cluster.