Research on Load Balancing for Multidimensional Network Services Based on Particle Swarm Optimization Algorithm

摘要

Multidimensional Services meet the needs of user’s differences, while increase the complexity of service composition. Because of the problem of multidimensional services load balancing on the network, a mathematical model is established, which is based on a particle swarm optimization. And a algorithm is proposed in this paper, in which particle swarm optimization algorithm is applied to the network load balancing (PSOB). Based on loading conditions, the PSOB algorithm balances the load of network communication flows by adaptively adjusting services load on the network nodes. Compared to previous researches, PSOB not only is able to adjust load on the network overall to the balanced state in real time, but also prevails the whole effect and efficiency in the process of balancing. Through theoretical analysis, the scheme of PSOB application is illuminated and experimental results illustrate PSOB’s better balanced effect.