QoS and Business Association aware based selection of excellent Process Granular Services in Enterprise

With the development of network economy, many manufacturers provide various kinds of cloud manufacturing services for users to use on demand. However, facing the increasingly diverse needs of users, traditional atomic services and their combined services can no longer meet the needs of the market. Cloud service providers urgently need to provide abundant cloud services with different granularity. Nevertheless, there are few studies on coarse-grained service construction. In this paper, quality of service (QoS) and business association aware based enterprise process granular service superiority selection evaluation model is provided. On the basis of this, the preferred framework is put forward, including QoS-aware computing, process service node selection and assemblying, process granular service merging, process granular service inspection. And the related algorithms are designed. Experiments show that the proposed superiority selection evaluation model and related algorithms are practical, which can effectively extract the superior granular services needed by enterprises.