Research on prediction methods for load balancing based on self-adaptive and confirmation mechanism

Present load balancing prediction in distributed system is based on full trust in prediction. However such trust may risk wrong prediction and degrade the system efficiency. In this paper, we proposed a self-adaptive load prediction model with multiple algorithms and confirmation mechanism. Based on this model, combined with mobile agent technology, we implemented a software packet for dynamic prediction, with which we achieved a dynamic balance of the system.