摘要
由于人们对于遥感数据的需求量越来越多,且对于共享数据也越来越紧迫,所以我国所发射的卫星数量呈递增态势。文章通过遥感数据分发共享的特点,对一些问题进行了改进,比如数据同步队列同步策略,结合数据映射的理念及为了保证数据同步的质量,分别设计与提出了基于XML对象节点映射模型和一种基于SOA的分布式异构数据库之间数据信息同步模型。结合后期的实验,得出该模型的同步效率提高约8.3%,遥感数据同步过程的时间明显减少。
As the demand for remote sensing data is increasing, and for the sharing of data is also increasingly urgent, so the number of satellites launched in China was increasing trend. The location of remote sensing data synchronization is more and more prominent in data sharing because of its synergistic effect on remote sensing data between heterogeneous databases and provides strong support for shared platform data and makes data Synchronization has been improved. For the time being, synchronization strategies are problematic, such as synchronization issues between heterogeneous databases. Since there are problems, we need to solve the problem, the article through the remote sensing data distribution and sharing of features, some problems were improved, such as data synchronization queue synchronization strategy, combined with the concept of data mapping and data synchronization for the quality of the design and proposed The data object synchronization model based on XML object node mapping model and a distributed heterogeneous database based on SOA. Combining with the later experiments, it is concluded that the synchronization efficiency of the model is about 8.3%, which makes the time of the remote sensing data synchronization process be reduced.
出处
《信息通信》
2018年第2期90-92,共3页
Information & Communications
基金
浙江省教育厅科研项目(编号:Y201738723)的研究成果之一
关键词
SOA架
大数据
数据同步
WEB服务
SOA Framework
Big Data
Data Synchronization
Web Services
