Research on Elastic Scheduling of Private Cloud Resources in Mobile Social Networks Based on Improved Particle Swarm Optimization

Conventional elastic scheduling methods for private cloud resources of mobile social networks mainly use ArcGIS for Server 10.1 for scheduling cluster interconnection, which is vulnerable to single point of server failure, resulting in high CPU utilization for scheduling. Therefore, a new elastic scheduling method for private cloud resources of mobile social networks needs to be designed based on improved particle swarm optimization. That is to say, the elastic scheduling model of private cloud resources of mobile social network is constructed based on the cloud resource service supply object, and the elastic scheduling algorithm of private cloud resources of mobile social network is designed by using improved particle swarm optimization. The elastic scheduling load of private cloud resources of mobile social network is predicted, thus realizing the elastic scheduling of private cloud resources. The experimental results show that the designed elastic scheduling method for private cloud resources of mobile social networks based on improved particle swarm optimization has a low CPU utilization rate, which proves that the designed elastic scheduling method for private cloud resources has good scheduling effect, reliability, and certain application value, and has made certain contributions to optimizing the comprehensive operation performance of mobile social networks.