Research on Cloud Computing Resource Allocation Based on Particle Swarm Optimization Algorithm

Aiming at the huge and dynamic resource allocation of most data centers at present, research on cloud computing resource allocation models based on artificial intelligence technology. Particle Optimization algorithm and cloud computing resource model are designed to realize the division of tasks and allocate cloud computing resources; in addition, a resource allocation scheduling framework is provided to collect tasks on user terminals. The service scheduling module calculates the resource loss, realizes the scheduling of cloud tasks, receives tasks submitted by users, and calculates the priority of the task. Finally, the global optimal solution is given. Using the C++ development simulation platform to simulate different numbers of server data centers, the results show that this resource allocation algorithm can solve the problem, thereby improving the allocation efficiency of the algorithm.