基于微服务的遥感数据处理与共享平台设计
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摘要
随着遥感技术的快速发展,遥感数据处理与共享应用于越来越多的领域,然而,业务功能的快速增长对遥感数据处理与共享平台的建设带来了新挑战,传统的基于单服务架构的遥感数据处理与共享服务已经无法满足人们对高可用、易扩展服务的需求。提出了基于微服务架构的遥感数据处理与共享平台设计方案,并基于微服务设计理念对平台架构、服务注册发现、服务交互、容错处理、统一配置管理及服务部署等提出了具体的技术解决方案,保证了平台的高可用性和易扩展性,满足当前遥感数据快速增长对数据处理与共享的需求。
With the rapid development of remote sensing technology, remote sensing data processing and sharing has been applied in more and more fields. However, the rapid growth of business functions has brought new challenges to the construction of remote sensing data processing and sharing platform. The traditional remote sensing data processing and sharing service based on single service architecture can not meet the requirements for high availability and ease of expandability. In this paper, a design scheme of remote sensing data processing and sharing platform based on microservice architecture is proposed. Based on the concept of microservice design, specific technical solutions are proposed for platform architecture, service registration discovery, service interaction, fault tolerance processing, unified configuration management and service deployment, which ensure the high availability and ease of expandability of the platform, and thus meet the demands for data processing and sharing posed by the rapid growth of remote sensing data.
With the rapid development of remote sensing technology, remote sensing data processing and sharing has been applied in more and more fields. However, the rapid growth of business functions has brought new challenges to the construction of remote sensing data processing and sharing platform. The traditional remote sensing data processing and sharing service based on single service architecture can not meet the requirements for high availability and ease of expandability. In this paper, a design scheme of remote sensing data processing and sharing platform based on microservice architecture is proposed. Based on the concept of microservice design, specific technical solutions are proposed for platform architecture, service registration discovery, service interaction, fault tolerance processing, unified configuration management and service deployment, which ensure the high availability and ease of expandability of the platform, and thus meet the demands for data processing and sharing posed by the rapid growth of remote sensing data.
引文
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[2]冯春,郭伟,龙小祥,等.我国遥感数据共享探讨[J].中国科技资源导刊,2010,42(3):66-72.
[3]史园莉,申文明,熊文成,等.遥感数据集群处理作业调度管理系统研究[J].计算机工程与应用,2012,48(25):77-82.
[4]杜圣东,杨燕,滕飞.交通大数据:一种基于微服务的敏捷处理架构设计[J].大数据,2017,3(3):53-67.
[5]王志勃,王麒森,毕艳茹.互联网环境下微服务框架分析与研究[J].信息与电脑(理论版),2017,(22):23-25.
[6]张峰.微服务技术构建大规模web系统的研究[J].科技创新与应用,2017,(22):48-49.
[7]段嘉腾.Docker技术在软件开发过程中的应用研究[J].中小企业管理与科技(中旬刊),2016,(9):152-153.
[8]李春阳,刘迪,崔蔚,等.基于微服务架构的统一应用开发平台[J].计算机系统应用,2017,26(4):43-48.
[9]谭一鸣.基于微服务架构的平台化服务框架的设计与实现[D].北京:北京交通大学,2017.
[10]黄小锋,张晶.微服务框架介绍与实现[J].电脑与信息技术,2016,24(6):14-16.
[11]欧阳荣彬,王倩宜,龙新征.基于微服务的数据服务框架设计[J].华中科技大学学报(自然科学版),2016,(S1):143-147.
[12]高贤康.浅析Docker技术在Web服务系统中的应用[J].电脑迷,2017,(6):55.