首页|基于边端协作的分布式数据分级管理技术

基于边端协作的分布式数据分级管理技术

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随着智能应用在嵌入式装备系统中的不断普及与发展,对大数据的有效利用和深度融合提出了更高的要求.然而,嵌入式装备类型多样、大数据多源异构,由于缺乏统一的组织管理,业务应用间存在数据壁垒,并出现了数据孤岛现象,导致大数据利用与开发困难.因此,在嵌入式装备系统中,如何有效组织管理数据是亟待解决的难点.为此,以嵌入式装备系统的数据统一管理和共享利用为导向,基于边侧与端侧协作技术,从数据管理架构、数据分级协同管理方案、数据请求调度策略三个方面,探讨了嵌入式装备系统中分布式数据协作管理技术的可行性,以促进数据到信息、信息到知识、知识到决策的快速转化,同时,通过管与用的紧密结合,推动嵌入式装备系统中数据应用的开发.
Research on hierarchical management for distributed data based on edge-terminal collaboration
With the continuous popularization and development of intelligent applications in the embedded equipment systems,higher requirements are put forward for the effective use and deep integration of big data.However,there are various types of em-bedded equipment and multi-source big data is heterogeneous.Due to the lack of unified organization and management,there are data barriers between business applications,and data islands have emerged,resulting in difficulties in the utilization and develop-ment of big data.Therefore,in the embedded equipment system,how to effectively organize and manage data is a difficult prob-lem to be solved.To this end,this paper is guided by the unified management and sharing of data in embedded equipment sys-tems.Based on edge-side and end-side collaboration technology,from three aspects:data management architecture,data hierar-chical collaborative management scheme,and data request scheduling strategy,this paper discusses the feasibility of collaborative management technology for distributed data in the embedded equipment systems,so as to promote the rapid transformation of data to information,information to knowledge,and knowledge to decision-making.At the same time,this paper promotes the develop-ment of data applications in embedded equipment systems through the close combination of management and use.

data managementhierarchical collaborationedge-terminal collaborationdistributed data

任德旺、周俊鹏、倪鑫、李丽娜、李亚晖、李运喜

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航空工业西安航空计算技术研究所,陕西 西安 710068

机载弹载计算机航空科技重点实验室,陕西 西安 710065

数据管理 分级协同 边端协作 分布式数据

2024

网络安全与数据治理
华北计算机系统工程研究所(中国电子信息产业集团有限公司第六研究所)

网络安全与数据治理

影响因子:0.348
ISSN:2097-1788
年,卷(期):2024.43(4)
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