Research And Application Of Model Data For A Distributed Database Data Synchronization Which Based On SOA

In recent years, the number of satellite launch of gradually increasing the amount of remote sensing data show the trend of explosive growth, the distribution of remote sensing data sharing is becoming increasingly urgent. Remote sensing data synchronization features prominently in the remote sensing data distribution share, its role is distributed synchronization between heterogeneous database of remote sensing data, remote sensing data distribution platform data sharing to support and improve the performance of data synchronization.The existing strategy more or less synchronized data between nodes synchronized low efficiency, it can not effectively synchronized between heterogeneous databases and other issues. To solve these problems, combined with remote sensing data distribution has a large amount of data sharing, synchronization and independent nodes big difference in performance and other characteristics of data synchronization queue control strategy which was improved data mapping combined with the idea of designing a model based on XML object node mapping in order to ensure the quality of data synchronization, data detection policies to provide differentiated presented data synchronization model between one kind SOA-based distributed heterogeneous database. Through the experiment, the model improvements in efficiency of about 15.9%, which can effectively reduce the distributed remote sensing data synchronization process synchronization time.The main work and contributions are as follows:1. Improved synchronization model, analysis of the current applied to the distributed heterogeneous database data synchronization model information, low node synchronization against them more or less efficient, low throughput and heterogeneous database system itself, improve one SOA-based distribution heterogeneous database data synchronization model.2. Design synchronization model, based on the proposed synchronous model, the first analysis of data between the control node synchronization queue, an improved queue control strategy; secondly by analyzing the advantages and disadvantages of XML, combined with data mapping model, based on the data information distributed database characteristics of the structure, design an XML node mapping model; final consolidated the previous two strategies, and to consider the large amount of data in the data synchronization, the difference of detection and processing of data synchronization, complete the overall design of distributed heterogeneous database data synchronization model.3. Application, the data synchronization model is applied to the distribution of remote sensing data sharing systems, and through a lot of test data show that distributed database synchronization proposed model can indeed effectively improve the system node utilization and efficiency of data synchronization, data synchronization to reduce the time and to ensure stable and reliable system.