强关联海洋数据划分研究

Research on Partition of Marine Data with Strong Correlation

海洋监测数据具有海量、强关联性的特点,对海洋监测数据进行合理布局,进而提高数据管理和应用的执行效率,是目前海洋数据研究领域的关键。将"互联网+"和"数字海洋"进行有机融合,提出一种强关联海洋监测数据布局策略。针对数字海洋中海洋监测数据的特点,根据监测任务、监测站位和监测数据的关联建立强关联矩阵。将矩阵中相似的元素聚集在一起,把具有较高关联度的数据划分为一类子数据集,并根据数据中心的存储容量进行布局。实验结果表明,该策略可降低算法的运行时间和用户访问海洋监测数据的响应时间,是数字海洋中海洋监测数据管理和存储的一种有效布局策略。

Marine monitoring data has the characteristics of large scale and strong correlation. How to effectively layout the data and how to improve the execution efficiency of data management and application are the keys in current marine data research. With the integration of Internet-plus and digital ocean, a marine monitoring data layout strategy in cloud environment based on the correlation of monitoring data is proposed. In view of the characteristics of marine monitoring data in digital ocean, a strong correlation matrix is established according to the correlation of monitoring tasks, monitoring points and monitoring data. This brings data with high correlation together in the matrix arrangement. It divides the data based on the correlation matrix. Consequently, the data in different group can be distributed to different data center based on the capacity. Experimental results show that the strategy reduces the running time of the algorithm and the response time of marine monitoring data access. Besides, the strategy provides an effective method to the management and layout of marine monitoring data in digital ocean.