Immune stability maintenance inspired model of Web services load balance

Inspired by immune stability maintenance mechanism, a load balance model of Web services is proposed in this study. An immune system-based SOA load balance model is built with multiple-level immune memory units that collect related information. The load balance problem is studied among three types of entities including service requesters, brokers and providers by an optimization model with two phrases. Finally, a multi-agent simulation platform is used to study the capability of load balance of the model. The experiments and analysis show that the model based on the immune system can improve the performance of load balance for Web services and decrease the failure ratio of requests.