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舰船监控网络异构监控数据自适应存储方法 被引量:1

Adaptive storage method for heterogeneous monitoring data in ship monitoring network
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摘要 为快速有效存储舰船监控网络异构监控数据,提出舰船监控网络异构监控数据存储方法。此方法主要用于优化舰船监控网络监控数据云存储平台的存储效果,多个舰船监控设备,经多个虚拟网关在数据接口层统一接口的使用下,将异构监控数据发送至数据处理层;数据处理层使用基于聚类的异构监控数据分类方法,将异构监控数据按照来源分类;分类后数据发送至分布式数据存储层,使用基于自适应分配的异构监控数据存储方法,结合分布式数据存储模型的可用容量与带宽状态,将分类后监控数据以自适应分配方式,存储于性能最优的存储模型,完成自适应分配存储。实验结果表明,此方法具备舰船监控网络异构监控数据自适应存储能力,存储效率、成功率显著提高。 To quickly and effectively store heterogeneous monitoring data in ship monitoring networks,a storage method for heterogeneous monitoring data in ship monitoring networks is proposed.This method is mainly used to optimize the storage effect of the ship monitoring network monitoring data cloud storage platform.Multiple ship monitoring devices send heterogeneous monitoring data to the data processing layer through multiple virtual gateways under the unified interface of the data interface layer.The data processing layer uses a clustering based heterogeneous monitoring data classification method to classify heterogeneous monitoring data by source.After classification,the data is sent to the distributed data storage layer.Using a heterogeneous monitoring data storage method based on adaptive allocation,combined with the available capacity and bandwidth status of the distributed data storage model,the classified monitoring data is adaptively allocated and stored in the storage model with the best performance,completing the adaptive allocation and storage.The experimental results show that this method has the ability to adaptively store heterogeneous monitoring data in ship monitoring networks,with significant storage efficiency and success rate.
作者 李辉燕 肖新华 LI Hui-yan;XIAO Xin-hua(Computer School of Hubei Polytechnic University,Huangshi 435600,China;Mechanical Engineering School of Hubei Polytechnic University,Huangshi 435600,China)
出处 《舰船科学技术》 北大核心 2023年第12期136-139,共4页 Ship Science and Technology
基金 湖北理工学院校级项目(22xjz03Y)。
关键词 舰船监控网络 异构监控数据 自适应存储 数据分类 云存储 ship monitoring network heterogeneous monitoring data adaptive storage data classification cloud storage
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