On Designing A Data Migration And Deployment System And Its Optimization Study

At present,the wide popularization and application of computer and information technology have brought about the growth of massive and diversified data.For traditional database management systems,this is beyond their storage and query analysis capabilities.The migration and deployment of data to the distributed big data processing platform has become a necessary big data solution for enterprises.Therefore,this thesis focuses on the research of cloud-oriented data migration,and conducts an in-depth study on the performance optimization of distributed data query from the perspective of data deployment.Firstly,this thesis realizes a data migration deployment system to meet the diversified migration requirements of enterprise users in data migration tasks,and helps users to efficiently and conveniently complete data migration between RDBMS and distributed cloud platform.At the same time,a table-driven Web database management system automatic construction mode is designed and implemented in the system.It enables users to span the programming development process,and can quickly and efficiently construct a Web database management system to meet the requirements by focusing on the definition of system requirements,and deploy it in the cloud environment for users to use,which greatly saves the cost of software development programming.Finally,based on the data migration deployment system studied,this thesis further investigates the impact of user access behavior on data sets on query performance of distributed data systems.At the same time,the segmentation algorithm of traditional data migration deployment is improved,and an access heat load balancing segmentation algorithm is proposed.The algorithm can improve the performance of distributed data systems in data query.An empirical scheme for distributed data deployment is proposed to match data deployment with user access behavior and improve distributed data query performance.In summary,this thesis develops data migration deployment related technologies and forms a set of effective technical standards.At the same time,it is found that distributed data deployment methods have certain influence on data query performance,and the performance of data query is related to the heat distribution of user's access to data.At the same time,the feasibility of the distributed data deployment scheme proposed in this thesis is demonstrated.