云环境下船舶密集数据布局策略和方法

Layout strategy and method of ship density data in cloud environment

随着船舶航行信息的增多,海量数据的存储和管理成为船舶业发展的关键问题之一。本文首先阐述云环境下船舶数据布局,并详细说明了此布局结构是如何进行数据传递;其次,研究Fisher线性判别的改进K均值算法的数据布局,在此过程中充分考虑了数据分组的计算能力、存储大小以及数据之间的相互关系;最后通过对比实验来说明本文算法在跨数据集应用方面数据移动性最少。

With the increase of ship navigation information, the storage and management of massive data becomes one of the key problems in the development of shipbuilding industry. This paper first described the ship data layout in the cloud environment, and explains in detail how the layout structure was used for data transmission. Secondly, this paper studies the data layout of the improved K algorithm of Fisher linear discriminant analysis. In this process, fully consider the computing power of the data packet, the storage size and the relationship between the data. Finally, the experimental results showed that the proposed algorithm had the least data mobility in the application of cross data sets.