基于边缘缓存的数据服务共享技术  

Data service sharing technology based on edge caching

作　　者：任德旺 周俊鹏 倪鑫 李丽娜 李亚晖[1,2] 李运喜 Ren Dewang;Zhou Junpeng;Ni Xin;Li Lina;Li Yahui;Li Yunxi(Xi′an Aeronautics Computing Technique Research Institute,AVIC,Xi′an 710068,China;Aviation Key Laboratory of Science and Technology on Airborne and Missile-borne Computer,Xi′an 710065,China)

机构地区：[1]航空工业西安航空计算技术研究所,陕西西安710068 [2]机载弹载计算机航空科技重点实验室,陕西西安710065

出　　处：《网络安全与数据治理》2023年第11期15-19,34,共6页CYBER SECURITY AND DATA GOVERNANCE

摘　　要：在嵌入式装备系统中,大数据作为一种战略资产,在优势获取与效率提升方面的价值日益凸显。然而,多源异构、位置分散的大数据缺乏有效利用和深度融合,难以满足业务应用向智能化、协同化转变的需求。为此,以大数据共享利用为导向,基于边缘计算与缓存技术,将数据加工为一种产品和服务能力,以满足嵌入式系统中不同应用对数据服务产品共享的需求;从数据服务共享架构、数据服务管理调度方法、数据服务共享方法等三个方面,探讨分布式数据服务共享技术的可行性,以满足嵌入式装备系统数字化在数据智能、数据协同、决策支持等方面的关键需求。通过大数据的开发利用,推动智能应用的升级更新。In the embedded equipment system,big data as a strategic asset plays an increasingly prominent role in the acquisition of advantages and improvement of efficiency.However,the lack of effective utilization and deep integration of multi-source heterogeneous and geographically dispersed big data makes it difficult to meet the needs of applications transitioning towards intelligence and collaboration.Therefore,guided by the sharing and utilization of big data in embedded system,this paper processes data into a product or service capability to meet the needs of different applications for data service sharing in embedded equipment system,based on edge computing and caching technology.This paper explores the feasibility of distributed data service sharing technology from three aspects:data service sharing architecture,data service management and scheduling method,and data service sharing method,in order to meet the key requirements of embedded equipment system digitization in data intelligence,data collaboration,and decision support.Through the development and utilization of big data,it promotes the upgrading and updating of intelligent applications.

关 键 词：数据服务 服务共享 元数据管理 边缘缓存 分布式数据 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]