Multistage Cloud-Service Matching and Optimization Based on Hierarchical Decomposition of Design Tasks

In cloud manufacturing systems, the multi-granularity of service resource and design task models leads to complexity matching. order satisfy preference requesters for large-granularity resources, we propose a multistage cloud-service matching strategy solve problem tasks resources with different granularity sizes. First, framework is proposed, basic services planned. Then, context-aware task-ontology modeling method studied, context-related model established. Thirdly, process-decomposition product development process small Fourthly, ontology preliminary accomplished. Finally, intelligent optimization carried out, optimal composition found period as objective function. With help preceding method, maximizing realized on premise ensuring success rate, which meets resources.