Research on Optimization Algorithm of Cloud Computing Resource Allocation for Internet of Things Engineering Based on Improved Ant Colony Algorithm

Considering the inability to use genetic algorithms, increased total execution time of tasks, and low user satisfaction and resource utilization based on existing algorithms, an improved ant colony algorithm optimization method for cloud computing resource allocation based on the mobile Internet of Things project is designed in order to better complete the allocation of cloud computing resources. In the mobile Internet of Things engineering environment, the tasks are classified by the characteristics of cloud computing resource allocation, and then, the justice distributive principle of the Berger model is analyzed through modeling by the human metamodel. Based on this, the global search capability of genetic algorithm is introduced into the initial information allocation process so as to integrate the genetic algorithm and ant colony algorithm and then apply them in the cloud computing resource allocation process. As can be learned from the simulation results, the proposed method can comprehensively improve user satisfaction and resource utilization while shortening the total execution time of tasks.