领域大数据应用开发与运行平台技术研究

发布时间：2018-03-08 11:46

本文选题：领域需求分析　切入点：一体化平台　出处：《软件学报》2017年06期 　论文类型：期刊论文

【摘要】：随着大数据技术在不同领域的快速应用,构建大数据应用系统的开发与运行一体化平台,降低大数据技术在各行各业应用普及的门槛,为面向领域的大数据应用系统的快捷开发和高效运行提供方法、工具和平台支撑,成为大数据产业发展的迫切需求.由于大数据固有的复杂性、动态性、多样性及其价值独创性,目前尚未形成系统化的大数据软件开发方法,难以满足不同领域对大数据全生命周期处理的多样化需求.大数据时代的软件工程面临的挑战,体现在互为依赖的两方面:面向大数据全生命周期的集成设计开发环境和基于软件生命周期的系统运行分析工具.结合特定领域的实际需求,研究面向领域的大数据应用系统开发与运行一体化平台技术,覆盖大数据生命周期(获取、清洗、集成、分析、呈现)以及软件生命周期(设计、开发、运行、优化),形成自管理、自适应、自优化的平台化解决方案.在此基础上,开展面向装备物联网及气象民生服务的大数据示范应用,以验证平台的有效性.
[Abstract]:With the rapid application of big data technology in different fields, an integrated platform for the development and operation of big data application system will be constructed, which will reduce the threshold for the popularization of big data technology in various industries. To provide the methods, tools and platform support for the rapid development and efficient operation of big data application system, which is an urgent need for the industrial development of big data. Diversity and its value originality, at present, there is no systematic software development method of big data, so it is difficult to meet the diverse needs of the whole life cycle processing of big data in different fields. It is embodied in two aspects of mutual dependence: the integrated design and development environment for big data's whole life cycle and the system operation analysis tool based on the software life cycle. This paper studies the technology of domain oriented big data application system development and operation integration platform, which covers big data lifecycle (acquisition, cleaning, integration, analysis, presentation) and software life cycle (design, development, running, etc.), Based on this, big data demonstration application for equipment Internet of things and meteorological and people's livelihood service is carried out to verify the effectiveness of the platform.
【作者单位】：清华大学软件学院;
【基金】：国家自然科学基金(61325008) 国家科技支撑计划(2015BAH14F02) 清华信息科学与技术国家实验室(筹)大数据科学与技术专项~~
【分类号】：TP311.13

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