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Research-oriented Data Manage System in Numerical Prediction

Author: ChenZhiHui
Tutor: ZhangWeiMin
School: National University of Defense Science and Technology
Course: Computer Science and Technology
Keywords: Numerical prediction Data Integration Data Access Metadata Workflow Scientific data SOA
CLC: TP311.52
Type: Master's thesis
Year: 2008
Downloads: 64
Quote: 1
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Numerical weather prediction research is one of the hot issues of the meteorological applications sector , with the Academy of Meteorological Sciences , numerical prediction theory , as well as high-performance computer technology development , especially the rapid development of the technology of SOA (Service-OrientedArchitecture) , opened the meteorological numerical prediction from the traditional script - based approach to SOA-based workflow transition prologue. Meteorological data integration and access to business automation support is an urgent need to address the problem of SOA numerical prediction workflow . Data integration is an effective way to deal with islands of information , data sharing and access . Current meteorological data integration and access to the system is the main demand response to the stored meteorological data and user retrieval interface of human-computer interaction , user participation , and there is a lot of manual operation , it is difficult to meet the data integration access to business automation needs . SOA numerical prediction workflow on meteorological data integration and access requirements , technologies and methods to study the integration of meteorological data based on metadata . Numerical weather prediction of metadata automatically generated by studying the SOA technology, proposed the two metadata Juequ framework , to solve the problem of meteorological data automatically generated metadata ; access through the research of XML technology , for the native XML ( eXtensible Markup Language ) slow database access status quo , XML metadata in a relational database access methods , to solve the problem of metadata directory ; Globus existing data service components based on service integration , forming a comprehensive data services for meteorological data transmission , the master copy and the data cache management to solve the problem of automatically retrieve data access and transfer . Finally , on the basis of the above research , the use of Web services technology , design and support SOA workflow numerical prediction of meteorological data integration and access to the system , to better meet the introduction of SOA technologies , numerical prediction workflow facing data integration and access to the business automation needs .

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