The Research Of Personal Information Integration System Based On Cloud Computing

With the development of computer technology and computer literacy, enterprise information is becoming increasingly popular, but enterprise information processes are implemented based on departments without overall planning, leaving lack of communication between information systems. In order to unify data and information sharing, we must integrate the large-scale data between departments. Nowadays there are mainly three methods for data integration, which are Federated Databases, Data Warehouse and Middleware. Based on these, this paper presents a data warehouse inheritance system adding the knowledge database, naming personal information integration system. Personal information integration system contains data preparation, including properties mapping etc, data process and visualization three parts. Through these three parts, the system extracts the personal basic information and relation information, to visualize. Adding knowledge into the system can help to realize recommendation function in properties mapping module, through similarity computing supporting by name similarity and rule similarity algorithms. What's more, semantic base can eliminate the difficult semantic conflicts problem in integration process.But whether it be the integration of large amounts of data or knowledge management, all we need is efficient computing power. Cloud computing is a service-oriented computing model, with the characters of highly scalable, powerful computing and storage capacity and so on. Could computing platform virtualizes, divide and allocate resources dynamically. Thanks to its fast and flexible features, the cost of enterprise information has been reduced. Based on IaaS, PaaS, SaaS the three-tier framework of cloud computing, this paper presents the construction and deployment of personal information integration system. Firstly, according the steps of system design in service engineering, we finish construction of basic service components and service portfolio, by the way of Service Pipeline, Call-Return and Service Agency these service modeling ideas. Secondly, we research the environment construction and service deployment in cloud environment. Finally, we present the implement of personal information and validate the efficiency of core algorithms in cloud computing through experiments.