Composition of Resource Services Based on Bond Energy Algorithm in Collaborative Task

摘要

In collaborative task, composition of resource services can be provided to enterprise users to enable value-added services. Taking typical cloud manufacturing for instance, the composition of resource services can improve the efficiency of resource selection and usage as massive manufacturing resource are widely distributed. To achieve the goal, a reasonable approach for partitioning aggregation of resources services in a business process is very important for the composition. Firstly, depending on workflow model, a correlative matrix is built according to the dependencies between different resource services. Then, an algorithm based on the Bond Energy Algorithm (BEA) is proposed to transform and partition the matrix. The sets of resource services with high interdependencies are aggregated, as a basis for different compositions of resource services. Finally, taking a collaborative design and manufacturing process as a case to shows that the proposed method is available.