Architecture-centric process topology selection and composition of cloud extended service flow based on cloud model

摘要

To improve flexibility and adaptability of service flow requirement is the architecture goal, cloud service platform is to achieve flexible adjustment process of main architecture goal. For this reason, large-grained service participation element-service aggregation unit is defined for service flow, thinking about QoS, this paper demonstrates aggregation and utility relationship among service aggregation units. Meanwhile, we select three-dimensional aspects of QoS: Time, Price and Success Rate. With extended Cloud model and Skyline, we complete extending cloud service flow, achieve effective integration about requirement goal and emotional semantics, in order to form self-awareness and learning ability of services selection and composition. At the same time, this demonstration results are applied in autonomous architecture-centric adjustment cloud platform, that improves satisfaction and accuracy of business's implementing.