Task Decomposition and Resource Allocation in Cloud Manufacturing

This paper investigates task decomposition and resource allocation in cloud manufacturing environment. Considering the problem of task decomposition, the correlation between the two meta-tasks is obtained by the expert evaluation method, and the task decomposition model is solved by the simulated annealing algorithm. When solving the problem of resource allocation, the master-slave game model is constructed by considering the interests of the cloud platform side, the demand side and the service side. Then, the Non-dominated Sorting Genetic Algorithm-II (NSGA-II) with bi-level programming ideal is adopted to solve the model. Finally, numerical experiments are carried out on both models to verify its effectiveness.