Research On Key Technologies Of DaaS Life Cycle In Cloud Computing Environment

With the emergence of the "Internet +" concept,the trend of Internet and real-world data in various industries is brought about,the variety and size of data are growing and accumulating at an unprecedented rate,and it has a huge role in promoting its rich social production value.In order to better capture the potential value of the data,more and more enterprises or individuals are through the cloud delivery model,their own for large data storage,computing and analysis capabilities open to third parties,through the construction of data services to the form the data is better managed and used,making data-as-a-service becoming a new generation of business models that affect the industry.Although a lot of companies,organizations and researchers have gained great achievements in the field of data as a service,the heterogeneity of data resource description,the explosive growth of data service quantity and other factors in cloud computing environment has brought new challenges to the data as a service.For example,1)With the diversity of data service descriptions,there is a lack of an easy-to-describe data service description model to achieve interoperability between data services;2)With the rapid increase in the number of data services,data quality of service varies,lacking of an efficient data service discovery method;3)With the increase in the demand for visualization and visual analysis of data services,the cost of visualization development continues to improve,lacking of a user-friendly data visualization method to improve the efficiency of data visual development.In order to solve the above problems,it is necessary to study the key aspects of data service integration and description model.Therefore,this paper research on cloud computing environment DaaS life cycle related key technology,the main innovation work includes:(1)We propose a DaaS-based data service flexible description model.Based on the analysis of the shortage of existing data service description model,integrate data services from the Internet and output the flexible description model of atomic data service and composite data service,at last the automatic call of data service is given according to the given flexible description model.(2)We propose a data service clustering approach for global social service network.Combining service clustering with global social service network,giving concept like social attribute,the historical social domain,the future social domain and so on,use social attribute to cluster data service as to improve the efficiency of service discovery in the global environment.(3)We propose a data service analysis method based on visual template.Based on the idea of reuse in software engineering field,the definition of visual template is given,and the visualization chart is realized by using visual template and the visualization of user experience is realized by using wizard technology,materialized cache and replica iteration.The research content of this paper is regarded as the key technology research of the network data platform in the service computing environment(No.2014C33071)and the special science and technology project of Zhejiang province.Special equipment cloud design service platform key technology research and its application "(No.2014C11SA1B0006)part of the research findings,from the perspective of constructing the cloud manufacturing service platform prototype to discusses the data service life cycle and its key technology in the cloud computing environment,and combines the data service flexible description model to integrate,manage,combination,invoke and visualize the data service.