Design And Implementation Of Web Data Management System Using Cloud Service Pattern

A new challenge is coming to the development mode of traditional data management system(DMS)in the presence of massive,heterogeneous and rapidly growing data.There exists a great deal of shortcoming for Case-By-Case development mode of DMS in timeliness,scalability and cost.This study firstly focused on respectively extracting the common characteristics of DMS in the data presentation layer,management maintenance layer and user interface layer,and then designed and implemented the DMS system architecture supporting the cloud service pattern – GWDC(General Web Data Cloud).Moreover,a framework driven by offline spreadsheets was proposed to build up DMS systems.For the privacy security,this work also implemented a set of data privacy preserving framework on cloud service mode.First,a scalable data management system platform was designed and implemented based on the Saa S.There was a multi-tenant,multi-instance Saa S application to be implemented on the platform.To meet the need of customizing services on demand,the users can quickly configure the required data management system on the platform without programming.Second,to further increase the productivity of the tenant to develop data management system and reduce the tenant learning cost,the study proposed a set of system requirements tables in the form of spreadsheets and used them to drive offline production of data management systems on Saa S platforms.And,an implementation has been done for meeting the needs of both online and offline production of data management systems.Third,to preserving data privacy from disclosure,a set of web services for data privacy preserving has been implemented on Saa S platform,with a provision of a set data privacy preserving tool of cloud service mode.Users can use various anonymity privacy preserving model to process data in the cloud to meet their needs of privacy and security.At the same time,the provided tool also ensures that the user handles the data privacy efficiently.The system tests and applications have evidenced the feasibility and effectiveness of the platform,method and tool developed in this study.Moreover,the partial achievement has been submitted and published with the form of software,paper,patent,IETF international draft,and so on.The idea,approach and framework of the Web data management system using cloud service pattern are of helpful significance for the development of DMS,such as system construction,data management,data publishing,and data privacy protection.