Research on workflow optimization in cloud manufacturing environment

Abstract

Background: In order to realize the construction, implementation and management of the business process in the cloud manufacturing platform, the characteristics of the workflow in the cloud manufacturing environment are analyzed. Materials and Methods: According to the time of searching and binding service, the workflow is divided into 4 stages: Service model, service discovery, service binding and service invocation. Results: Based on the service quality requirement and service quality (QoS) attributes in the workflow abstraction model, the different service discovery strategies are chosen to make the same activity, different instances can be bound to different services and improve the flexibility and self-adaptability of cloud manufacturing workflow. Conclusion: In this study, according to the characteristics of cloud manufacturing workflow, authors study in the framework of building, model building and implementation process, etc.