链路层舰船通信光纤网络被动数据存储方法研究

Research on passive data storage method of optical fiber network in link layer ship communication

为了提高链路层舰船通信光纤网络被动数据存储的容量,提出一种基于分层融合机制的链路层舰船通信光纤网络数据存储模型。首先采用交叉分布式云存储结构模型构建光纤网络被动数据存储的数据库模型,在数据库中进行被动数据的聚类处理,然后根据聚类属性进行分层融合,对海量的舰船通信光纤网络被动数据进行特征压缩,从而提高存储空间的容量。最后进行数据存储的仿真实验分析,结果表明,采用该方法构建舰船通信光纤网络被动数据存储模型,数据库的吞吐量得到明显提升,同时提高了对目标数据的查准率和查全率。

In order to improve the capacity of passive data storage in the optical fiber communication network, a data storage model based on hierarchical fusion is proposed. The database model uses cross distributed cloud storage structure model of passive optical network data storage, clustering passive data in the database, and then according to the clustering property of hierarchical fusion, feature compression ship communication optical fiber network passive data in the mass, so as to improve the capacity of storage space. The simulation experiment data analysis results show that the construction of ship communication network passive optical fiber data storage model by using this method, the database throughput can be improved significantly, and improve the precision and recall of the target data.