A Geographical Information Service Load Balancing Algorithm

Intelligent scheduling of geographical information resources based on load balancing for improved concurrent access to a service system is a focal point of current study. This paper presents a method for dynamic load balancing; different types of geographical information service are matched with the corresponding server group, and then the RED algorithm is combined with the double threshold method to effectively judge the load state of server nodes. The service is scheduled based on weighted probabilities for a given period. Finally, a experiment system was built based on a server cluster. This experiment illustrates the effectiveness of the method presented in this paper.